Skip to main content
Glama
claudewilder

claude-wilder-mcp

fact_check_claim

Read-only

Verify a claim by cross-referencing it with evidence from data, sources, and investigations in published content.

Instructions

Check a specific claim against available evidence from the publication's data, sources, and investigations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoOptional: limit fact-checking to a specific investigation or review slug. If omitted, checks across all available data.
claimYesThe claim to check (e.g. 'COVID vaccination rates correlate with lower fertility at r=-0.53')
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, so safety profile is clear. Description adds behavioral context by stating it checks against evidence from specific sources. No contradiction with annotations.

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

Conciseness4/5

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

Single sentence covers all essential information without redundancy. Well-structured and front-loaded with key purpose.

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

Completeness4/5

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

For a simple tool with 2 parameters, clear annotations, and no output schema, the description is adequate. It doesn't explain return format, but that's not expected without output schema. Overall complete for its complexity.

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

Parameters4/5

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

Schema description coverage is 100%, but description adds value by clarifying that slug is optional and limits scope, and provides an example for claim. This helps the agent understand parameter usage beyond schema definitions.

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?

Description uses specific verb 'Check' and resource 'claim', clearly distinguishing it from sibling tools like analyze_dataset or read_interview. It also specifies scope: 'from the publication's data, sources, and investigations', which sets clear boundaries.

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

Usage Guidelines3/5

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

Description implies usage context (fact-checking a claim) but does not explicitly state when to use vs alternatives or when not to use. No mention of prerequisites or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/claudewilder/claude-wilder-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server