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Casius999

decroche-mcp

by Casius999

match_score

Calculate a skill-coverage match score by comparing a CV file against a job description to assess candidate-job fit.

Instructions

Compute a skill-coverage match score between a CV file and a job offer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cv_pathYesPath to the CV file (PDF/DOCX/MD/TXT).
offer_textYesRaw job-offer/job-description text.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
score_0_100Yes
requirement_coverageNo
seniority_fitYes
missing_mustNo
Behavior2/5

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

No annotations provided, and description does not disclose behavioral traits like file reading method, return format, or required permissions. For a mutation-like compute tool, this is insufficient.

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?

Extremely concise single sentence, front-loaded with action. Appropriate for a simple tool but could expand slightly without losing conciseness.

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?

Output schema exists but not detailed in description. Tool is simple with known inputs, so description is minimally complete. Could mention return type or score range.

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%. Description adds no extra meaning beyond the schema descriptions. Baseline 3 applies as schema already documents parameters sufficiently.

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 clearly states verb 'Compute', resource 'skill-coverage match score', and inputs (CV file and job offer). It distinguishes from sibling tools like match_keyword_gap or match_success_probability by specifying skill coverage.

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 vs alternatives such as match_keyword_gap or match_company_intel. Lacks any context or exclusions.

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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