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nishtobehonest

Resume Tailor MCP Server

by nishtobehonest
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Python
Remote

Server Quality Checklist

50%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation5/5

    The two tools serve completely distinct purposes: hello is a health check, and tailor_resume is the core functionality. No overlap or ambiguity.

    Naming Consistency2/5

    The naming conventions are inconsistent: 'hello' is a bare verb while 'tailor_resume' follows a verb_noun pattern. Even with only two tools, the mismatch is notable.

    Tool Count2/5

    With only two tools, the server feels under-scoped. A resume tailoring service would benefit from more tools covering related operations, such as validation or keyword extraction.

    Completeness2/5

    The server lacks essential operations beyond the core tailoring task. No support for resume validation, multiple version management, or user feedback mechanisms, leaving significant gaps.

  • Average 4.2/5 across 2 of 2 tools scored. Lowest: 3.6/5.

    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

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  • 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

  • Behavior3/5

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

    No annotations provided, so description carries full burden. It indicates a simple, safe operation but lacks details on behavior, side effects, or return format.

    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 short sentences, front-loaded with purpose, no extraneous information.

    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 simple health check tool, purpose is clear, but missing parameter explanation reduces completeness; has output schema but return values not described.

    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 has 0% description coverage for the required 'name' parameter, and the description does not explain its role (e.g., used in greeting).

    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 is a health check ('Say hello — a health check tool'), distinguishing it from sibling 'tailor_resume' which handles resume tailoring.

    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?

    Implies use for checking server health ('Always kept so we can confirm the server is alive'), but no explicit guidance on when not to use or alternatives.

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

  • Behavior5/5

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

    Since no annotations are provided, the description fully covers behavioral traits: it explains the internal process (sends inputs to Claude with a constrained system prompt), lists specific constraints (no hallucination, preserve LaTeX, only modify certain sections), and describes the output format.

    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?

    The description is moderately long but well-structured: a summary sentence, bulleted constraints, then parameter and return descriptions. It is front-loaded with purpose. The 'Args:' and 'Returns:' sections add clarity without being verbose.

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

    Completeness5/5

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

    The description covers purpose, behavior, parameters, and return format. It references an output schema ('returns JSON string with keys...'). Given the tool's complexity (2 params, no annotations, no nested objects), the description is comprehensive.

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

    Parameters5/5

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

    With 0% schema description coverage, the description compensates by fully explaining both parameters: 'job_description' (full text of job posting, paste directly) and 'resume_content' (full LaTeX source). This adds meaning beyond the schema.

    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 'Tailor a LaTeX resume to match a job description', specifying a clear verb ('tailor') and resource ('LaTeX resume'). It distinguishes itself from the only sibling 'hello', which is unrelated.

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

    Usage Guidelines4/5

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

    The description explains when to use the tool (to tailor a resume) but does not provide explicit guidance on when not to use it or mention alternatives. The context is clear enough for an agent to decide.

    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.

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