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chefcohen

corroborate-mcp

by chefcohen
OverviewSchemaRelated ServersScoreDiscussions
JavaScript
Remote

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.2

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity. The single tool has a clear purpose and cannot be confused with others.

    Naming Consistency5/5

    The tool name 'find_sources' follows a consistent verb_noun pattern, and since there is only one tool, there is no inconsistency.

    Tool Count2/5

    A single tool, 'find_sources', feels too few for a server named 'corroborate-mcp', which implies a broader scope including claim verification. The tool is described as a 'cheaper primitive', suggesting that a more complex tool ('corroborate_claim') is missing, making the count inappropriate.

    Completeness1/5

    The server's purpose appears to be corroboration, but it only provides a news search tool. The description explicitly references a missing 'corroborate_claim' primitive, leaving a significant gap. There are no tools for actual claim verification, making the surface severely incomplete.

  • Average 4.3/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 17 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

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

    No annotations provided, so description carries full burden. It discloses 'Keyless, read-only,' which are critical behavioral traits. Could mention rate limits or pagination, but the provided info is sufficient for safe use.

    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?

    Two sentences: first covers core functionality, second provides usage context. No filler, front-loaded with essential info.

    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?

    Given 3 parameters and no output schema, the description covers purpose, usage, and key behaviors. The deduped list fields are specified. Lacks a concrete example but still complete for a simple tool.

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

    Parameters2/5

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

    Schema coverage is only 33% (only query has a description). The description does not explain max_sources or window_days beyond their schema constraints. Low coverage with no compensation.

    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: multi-engine news/source search returning a deduped list of {outlet, domain, url, date}. It distinguishes itself from the sibling tool corroborate_claim by calling itself the cheaper primitive.

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

    Usage Guidelines5/5

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

    Explicitly states when to use ('when you want raw coverage to judge yourself, not a scored verdict') and provides the alternative sibling tool corroborate_claim. Clear guidance.

    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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Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

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