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candidate_match_score

Scores a candidate against a job description to calculate match percentage, identifies strengths and gaps, and provides a hiring recommendation.

Instructions

Score a candidate against a job description. Returns match_percentage, strengths, gaps, and a recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_descriptionYes
candidate_skillsYes
candidate_summaryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It does not contradict schema but only mentions return fields. Lacks info on side effects, auth needs, or rate limits.

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?

Single sentence that efficiently states purpose and return value. No wasted words, but could benefit from structured separation of purpose vs. output.

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 and description complements it by naming return fields. However, parameter documentation is weak, and the tool has no usage context. Adequate for simple tools but incomplete for a scoring tool.

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 0%, and the description adds no parameter-level details. It does not explain how candidate_skills should be formatted or what candidate_summary is for, despite the schema providing minimal titles.

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 the tool scores a candidate against a job description and lists specific outputs (match_percentage, strengths, gaps, recommendation). This distinguishes it from siblings like resume_parser or search_candidates.

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 such as get_candidate_details or source_analysis. No prerequisites or context provided.

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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