Skip to main content
Glama

Search the talent catalog

search_talent
Read-onlyIdempotent

Searches the carbon.talent talent catalog by skills, years of experience, location, or keywords. Each result shows a first name and last initial, role, skills, years, city and country, and a short overview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
pageNo
yearsNo
skillsNo
locationNo
page_sizeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds one genuinely useful behavior: results are partially anonymized ('first name and last initial'). It says nothing about pagination limits, empty-result behavior, or cost, so it only modestly exceeds the annotation bar.

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 sentences, zero filler, with the search dimensions front-loaded before the result-shape sentence. Nothing could be cut without losing information.

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?

There is no output schema, so the description's enumeration of returned fields is necessary and welcome. However, with 0% schema coverage on 6 params, pagination (page/page_size, capped at 25) and result-set limits are left entirely undocumented, which is a real gap for a 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 0% across 6 parameters, so the description must compensate. It maps meaning onto four of them (keywords→q, skills, years, location) but says nothing about page or page_size, and the schema's maxItems/maxLength/min-max bounds are undocumented anywhere. Partial compensation only.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Searches the carbon.talent talent catalog') and enumerates the filterable dimensions (skills, years, location, keywords), which distinguishes it from a single-record fetch. It does not, however, name the sibling it contrasts with (get_talent_profile) or state that it returns multiple candidates.

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 filter list implies when the tool is useful ('find talent matching criteria'), but there is no explicit when-to-use versus when-not, and no routing guidance to get_talent_profile for a specific person or to list_applicants for a role pipeline. Usage is inferable rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.