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xiaobenyang-com

context7-mcp

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    The two tools have clearly distinct purposes: 'resolve-library-id' handles library identification and matching, while 'get-library-docs' retrieves documentation for a specific library. There is no overlap in functionality, and the descriptions explicitly define their separate roles in the workflow.

    Naming Consistency4/5

    Both tools follow a consistent verb-object naming pattern with hyphens ('resolve-library-id', 'get-library-docs'), which is clear and readable. The minor deviation is that 'resolve' and 'get' are different verbs, but this reflects their distinct actions appropriately within the domain.

    Tool Count2/5

    With only 2 tools, the server feels thin for its apparent domain of library documentation retrieval. A more complete surface might include tools for browsing libraries, searching documentation, or managing queries, but the current set is minimal and may limit agent capabilities.

    Completeness2/5

    The tool surface is severely incomplete for library documentation workflows. While it covers resolution and fetching, it lacks tools for operations like searching across libraries, listing available libraries, or handling documentation updates, which are common needs in this domain.

  • Average 4.5/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under Apache 2.0.

  • 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior: it returns a list of matching libraries, explains the selection process with prioritization criteria (name similarity, description relevance, etc.), specifies the response format (including error handling for no matches), and outlines how to handle ambiguous queries. This covers most behavioral aspects, though it could mention performance characteristics like rate limits or authentication needs.

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

    Conciseness3/5

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

    The description is appropriately sized but not optimally structured. The first paragraph clearly states the purpose and usage guidelines, but the subsequent 'Selection Process' and 'Response Format' sections, while informative, could be more integrated. Some sentences (e.g., about benchmark scores) add value but slightly reduce conciseness. Overall, it's front-loaded with key information but includes some elaboration that, while useful, affects efficiency.

    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 the complexity (a resolution tool with a multi-criteria selection process), no annotations, and no output schema, the description does a good job of covering context. It explains the tool's role in the workflow, the selection logic, and the response handling. However, it lacks details on output structure (beyond high-level format) and doesn't address potential errors or edge cases beyond 'no good matches,' leaving minor gaps in completeness.

    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?

    The schema description coverage is 0%, so the description must compensate. It adds significant meaning beyond the bare schema by explaining that the 'libraryName' parameter is a 'package/product name' to be resolved, and it implicitly defines the expected input as a query string rather than a pre-formatted ID. However, it doesn't provide examples or format details for the parameter, leaving some ambiguity.

    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 specific action ('resolves a package/product name to a Context7-compatible library ID') and resource ('returns a list of matching libraries'), distinguishing it from its sibling 'get-library-docs' by explaining this is a prerequisite step for obtaining valid IDs. The verb 'resolves' is precise and the scope is well-defined.

    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 this tool ('before get-library-docs to obtain a valid Context7-compatible library ID') and when not to use it ('UNLESS the user explicitly provides a library ID in the format...'). It names the alternative tool ('get-library-docs') and provides clear conditions for bypassing this tool, offering comprehensive guidance.

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

  • Behavior4/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: the prerequisite of calling 'resolve-library-id' first (unless specific ID format is provided), the two operational modes with their distinct purposes, and the fact that documentation is 'up-to-date.' It doesn't mention error handling, rate limits, or authentication requirements, but provides substantial operational context.

    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?

    The description is efficiently structured with two sentences that each serve distinct purposes: the first establishes the core functionality and prerequisites, the second explains the mode parameter usage. Every word contributes necessary information with zero wasted content.

    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 tool with 4 parameters, 0% schema description coverage, no annotations, and no output schema, the description does an excellent job covering the most critical aspects: purpose, prerequisites, and key parameter usage. It doesn't explain the 'topic' or 'page' parameters or describe the return format, but provides sufficient context for basic usage given the 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?

    With 0% schema description coverage, the description must compensate for the lack of parameter documentation. It provides meaningful context for two parameters: it explains the 'context7CompatibleLibraryID' parameter's relationship with the sibling tool and acceptable formats, and details the two possible values for 'mode' parameter and when to use each. It doesn't mention 'topic' or 'page' parameters, leaving some gaps.

    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 purpose with specific verbs ('fetches up-to-date documentation for a library') and distinguishes it from its sibling 'resolve-library-id' by explaining the relationship between them. It specifies the exact resource being accessed.

    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?

    The description provides explicit guidance on when to use this tool versus alternatives: it instructs to call 'resolve-library-id' first unless the user provides a specific library ID format, and distinguishes between two modes ('code' vs 'info') for different types of documentation needs. It clearly defines the prerequisites and alternatives.

    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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