What does this MCP actually validate?

It checks if capability calls contain all required arguments and if the values provided match the allowed schema or enumerations.

How does it detect hallucinations?

It compares the values provided by the LLM against the allowed list of values defined in your schema and flags any mismatches.

Which AI clients can use this?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I use this for debugging raw text extractions?

Yes, the tool_extract_raw_matches capability is specifically designed for low-level scanning of argument-value pairs in text.

Do I need to host this myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect it.

How does the capability detect hallucinations?

It compares the extracted argument values against a provided list of valid enums using tool_validate_extraction. If a value is found that isn't in the list, it is flagged as a hallucination.

What is the difference between a missing argument and a hallucination?

A missing argument is a required field that was not mentioned in the text at all. A hallucination is a field that was mentioned, but with an invalid value that does not match the allowed set.

Can I use this to scan raw text for any potential values?

Yes, you can use tool_extract_raw_matches to perform a low-level scan of text using specific keywords as anchors to find potential argument-value pairs.

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Connect Tool Argument Completeness Checker to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop hallucinations and missing parameters in your agent capability calls.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Tool Argument Completeness Checker.

01
Tool extract raw matches
This capability performs a low-level scan to find specific argument-value pairs within text.
02
Tool get argument coverage
This capability provides a high-level summary of how well your agent is adhering to capability schemas.
03
Tool validate extraction
This capability computes completeness scores and identifies missing or hallucinated arguments.

Real work

What teams actually run

Agent Debugging

You use it to find out exactly why an agent failed to trigger a specific function.

Schema Enforcement

You run validation to ensure an LLM is not inventing new parameters during a call.

Data Extraction Auditing

You check the accuracy of arguments extracted from unstructured user text.

Workflow Reliability

You use completeness scores to decide if an agent's output is safe to pass to a production API.

One connector, every AI

Tool Argument Completeness Checker works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Tool Argument Completeness Checker to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

955ms average. Fast in production.

Tool Argument Completeness Checker is checked daily against the live service.

Daily averagePeak 1060ms

Oct 3Today

Fastest day: 737ms
Slowest day: 1060ms
14-day trend: Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Tool Argument Completeness Checker, so you can see the experience inside your AI.

It does not authenticate your account with Tool Argument Completeness Checker. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Tool Argument Completeness Checker Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Sh49pxTulCI60lpzZ6L6JqIUNUHe1MBWDnt97cIU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Tool Argument Completeness Checker capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "tool-argument-completeness-checker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Sh49pxTulCI60lpzZ6L6JqIUNUHe1MBWDnt97cIU/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Tool Argument Completeness Checker in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tool Argument Completeness Checker owners hand off.

This MCP is built for developers who build and debug autonomous agents and LLM-driven applications.

01
AI Engineers
They use this to verify that agent capability calls remain within strict schema bounds.
02
LLM Developers
They use it to debug why models are failing to provide necessary function arguments.
03
Backend Developers
They use it to ensure incoming capability calls from an AI client won't break downstream APIs.

FAQ

Questions Tool Argument Completeness Checker owners ask.

01
What does this MCP actually validate?
It checks if capability calls contain all required arguments and if the values provided match the allowed schema or enumerations.
02
How does it detect hallucinations?
It compares the values provided by the LLM against the allowed list of values defined in your schema and flags any mismatches.
03
Which AI clients can use this?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
Can I use this for debugging raw text extractions?
Yes, the tool_extract_raw_matches capability is specifically designed for low-level scanning of argument-value pairs in text.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect it.
06
How does the capability detect hallucinations?
It compares the extracted argument values against a provided list of valid enums using tool_validate_extraction. If a value is found that isn't in the list, it is flagged as a hallucination.
07
What is the difference between a missing argument and a hallucination?
A missing argument is a required field that was not mentioned in the text at all. A hallucination is a field that was mentioned, but with an invalid value that does not match the allowed set.
08
Can I use this to scan raw text for any potential values?
Yes, you can use tool_extract_raw_matches to perform a low-level scan of text using specific keywords as anchors to find potential argument-value pairs.

Explore

More in Developer Tools

Connect Tool Argument Completeness Checker to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Tool extract raw matches

Tool get argument coverage

Tool validate extraction

What teams actually run

Agent Debugging

Schema Enforcement

Data Extraction Auditing

Workflow Reliability

Building your own app? The connector is yours to use.

Tool Argument Completeness Checker Connector

Claude Desktop

AI Engineers

LLM Developers

Backend Developers

What does this MCP actually validate?

How does it detect hallucinations?

Which AI clients can use this?

Can I use this for debugging raw text extractions?

Do I need to host this myself?

How does the capability detect hallucinations?

What is the difference between a missing argument and a hallucination?

Can I use this to scan raw text for any potential values?

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