Skip to main content
Glama
Casius999

decroche-mcp

by Casius999

recruiter_qualify

Score a recruiter's fit against a target job or company context using their profile and target criteria.

Instructions

Score a recruiter's fit against a target job/company context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recruiterYesA Recruiter object.
targetYesDict with optional keys: company, sector, role, seniority.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
fit_scoreYes
recommendYes
reasonsNo
Behavior2/5

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

With no annotations, the description carries full burden. It only says 'score', implying a calculation, but doesn't state whether it's read-only, requires authentication, or any side effects. The behavior is underspecified.

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?

A single sentence that is concise and front-loaded with the purpose. No wasted words.

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?

Completeness is adequate given that the output schema exists (though not shown) and schema coverage is 100%. However, the description lacks context on what 'fit' means or how the score is interpreted, leaving room for ambiguity.

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% and the schema documents parameters well. The description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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 uses a clear verb 'Score' and specific resource 'recruiter's fit against a target job/company context', effectively distinguishing this tool from siblings like recruiter_identify (identify) and recruiter_store (save).

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 versus alternatives like recruiter_identify or recruiter_draft_message. No prerequisites or context for usage, such as needing a recruiter object from another tool.

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/Casius999/decroche-mcp'

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