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navin2031992

Spec-Driven IntelliMatch / iSuite MCP

by navin2031992

im_match_candidates_for_job

Matches job openings with best-fit candidates using AI, returning ranked results with match scores. Helps recruiters quickly identify top talent for a specific position.

Instructions

Find the best-fit candidates for a specific job opening using IntelliMatch's AI matching engine. Returns ranked candidates with match scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob requisition to match candidates against
min_scoreNo
limitNo
status_filterNoOnly match candidates with this statusactive
Behavior3/5

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

With no annotations, the description carries full burden. It states it uses an AI matching engine and returns ranked candidates with scores, but does not disclose side effects, authentication needs, rate limits, or behavior when no matches are found.

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 extremely concise with two sentences, front-loading the purpose immediately. No unnecessary 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?

For a tool with 4 parameters and no output schema, the description covers basic purpose but lacks details on pagination, sorting, error handling, or what 'match scores' entail. Minimal viable completeness.

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 description coverage is 50%, and the description does not add meaning to parameters beyond the schema. It fails to explain parameter semantics or provide examples.

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 specific verb 'Find' and resource 'candidates for a specific job opening' with added value 'using IntelliMatch's AI matching engine', clearly distinguishing it from sibling `im_match_jobs_for_candidate` which does the reverse.

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?

The description implies its usage (matching candidates to a job) but does not explicitly state when to use it versus alternatives like `im_match_jobs_for_candidate` or provide any 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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