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Ryu07-d

knowledge-curator-mcp

by Ryu07-d

verify_claim

Verify any claim by checking it against free sources like Wikipedia and DuckDuckGo using a local LLM, and receive a verdict with citations.

Instructions

Verify a single claim with a local LLM against free sources, returning a verdict and citations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimYesThe claim/statement to verify
contextNoOptional surrounding context
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the burden. It reveals the use of a local LLM and free sources (implying privacy and cost constraints) and mentions the output (verdict and citations). However, it does not disclose potential side effects, limitations, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence of 14 words, no fluff. Information is front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with two parameters and no output schema, the description mentions return type (verdict and citations) but lacks details on verdict semantics, citation format, or error handling. Moderate completeness for the complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for both parameters. The tool description adds minimal value beyond the schema, such as mentioning 'single claim' but not param specifics. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: verifying a single claim using a local LLM against free sources, and it distinguishes itself from sibling tools like 'fact_check_document' which likely handles documents.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., fact_check_document) or when not to use it. The description implies it's for individual claims but offers no explicit context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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