Skip to main content
Glama

search_resumes_by_skill

Find resumes that list a specific skill by partial match. Returns resume identity and matched skill names for efficient filtering.

Instructions

Find which resumes list a given badge skill. Returns resume identity and matched skill names only — more token-efficient than list_resumes when filtering by skill.

Each result includes: id, first_name, last_name, matched_skills.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skillYesSkill title fragment to search for (case-insensitive, partial match)
modeNoToken match mode — 'and' (default) requires all words to appear in the skill title; 'or' requires any word to matchand

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It confirms the tool is a read/search operation and lists returned fields, but does not explicitly state that it does not modify data, which is a minor gap.

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 concise sentences plus a bullet list of returned fields. No filler, front-loaded with purpose, every sentence adds value.

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

Completeness4/5

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

With an output schema (exists but not shown), the description does not need to detail return values. It covers the main purpose and efficiency benefit. Could mention pagination or limits, but not critical for a simple search tool.

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 description coverage is 100%, so baseline is 3. The description adds minimal value beyond schema: it rephrases 'skill' as 'badge skill' but does not clarify 'mode' or add formatting details.

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 specific verb ('find') and resource ('resumes') with a clear scope ('by skill'), explicitly distinguishing from sibling 'list_resumes' by highlighting token efficiency and reduced return fields.

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 states when to use this tool (filtering by skill, more token-efficient than list_resumes), but does not explicitly state when not to use or mention prerequisites.

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/mnoomnoo/resume-mcp-server'

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