Skip to main content
Glama

list_resume_summaries

Read-onlyIdempotent

List resume summaries as lightweight identity records (id, name, email, phone) to select a resume before fetching full details. Supports optional name filtering and pagination.

Instructions

List resumes as lightweight identity records — id, name, email, phone only. Use this to orient and pick a resume_id before fetching details with other tools. Much more token-efficient than list_resumes when you only need to identify who is present. Pass query to filter by first or last name (absorbs the old search_resumes_by_name tool). Response includes total_count and items for pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoToken match mode — 'and' (default) requires all words to appear in the same name field; 'or' requires any word to match; 'regex' treats query as a case-insensitive regular expressionand
limitNoMaximum number of results to return (default 100)
queryNoOptional name fragment to filter by first or last name (case-insensitive)
offsetNoNumber of results to skip for pagination (default 0)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations (readOnlyHint: true, idempotentHint: true) already signal safe read operation. The description adds behavioral context: it returns only 'id, name, email, phone', includes pagination fields 'total_count and items', and that query filters by first or last name. No contradictions. The description enhances understanding beyond the annotations.

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?

Five concise sentences, each adding distinct value. Front-loaded with purpose and output format. No redundant information. Every sentence earns its place, making it highly efficient for agent consumption.

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

Completeness5/5

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 (context signal: true), the description need not detail return structure, but it mentions total_count and items for pagination, which is helpful. Covers filtering, the absorbed sibling tool, and the lightweight nature. Fully sufficient for an agent to understand usage in context.

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 coverage is 100%, so baseline is 3. The description adds minimal parameter context: 'Pass query to filter by first or last name' relates to the query parameter, but the schema already describes it well. Mode and pagination parameters are not elaborated in the description beyond what schema provides. No significant value added beyond schema.

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?

Clearly states it lists resumes as lightweight identity records with specific fields (id, name, email, phone). Distinguishes from sibling 'search_resumes_by_skill' by contrasting name-based filtering vs skill search, and mentions absorbing the old search_resumes_by_name tool. The verb 'list' combined with the lightweight scope makes the purpose immediately clear.

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?

Explicitly advises using this tool to 'orient and pick a resume_id before fetching details with other tools' and highlights token-efficiency over a presumably heavier 'list_resumes' tool. Implicitly contrasts with sibling 'search_resumes_by_skill' by focusing on name filtering. Does not explicitly list when not to use, but the guidance is clear and actionable.

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