Skip to main content
Glama

search_education

Search education entries in resumes by institution, degree, or competency. Results include the resume ID showing which resume the entry belongs to.

Instructions

Search education entries by institution, degree, or competency.

Each result includes a resume_id field identifying which resume the entry belongs to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesText to search for (case-insensitive)
resume_idNoOptional resume ID to scope the search to one resume
modeNoToken match mode — 'and' (default) requires all words to match within the same field; 'or' requires any word to matchand

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the tool searches and returns resume_id, but it does not disclose behavioral traits such as read-only nature, rate limits, pagination, or error handling. A search tool is likely safe, but this is not explicit.

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 with no fluff. The first sentence captures the core functionality, and the second provides useful output context. Every word earns its place.

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?

Given the presence of an output schema (not shown but signaled), the description adequately covers return values by mentioning resume_id. It also gives search fields. For a 3-parameter search tool, this is reasonably complete, though lacking behavioral notes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds value beyond the 100% schema coverage by explaining that results include resume_id and that search covers institution, degree, or competency. The baseline is 3, and this extra context justifies a 4.

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 clearly states the tool searches education entries by institution, degree, or competency, which is a specific verb and resource. It also distinguishes from siblings like search_education_by_competency by indicating broader search capabilities.

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 does not explicitly state when to use this tool vs alternatives like search_education_by_competency or other search tools. It implies usage for general education queries but lacks exclusion criteria or context.

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