Skip to main content
Glama
kula-ai

@kula-ai/mcp-server

Official
by kula-ai

get_candidate

Retrieve full candidate details by ID, including applications, tags, skills, and location. Use after searching to get complete information.

Instructions

Retrieve full details of a specific candidate by ID, including all applications, tags, skills, and location. Use this when you already have the candidate ID. To find a candidate by name or attributes, use search_candidates first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCandidate ID
Behavior4/5

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

No annotations, but description covers what data is returned (full details, including specific fields). It implies a read-only retrieval. Could mention error handling for missing ID, but overall sufficient.

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, front-loaded with purpose and usage. No wasted words.

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 simplicity (1 param, no output schema), description covers key info. Could mention behavior if candidate not found, but not critical.

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 already has 100% coverage with one parameter (id). Description adds context on when to use but no additional syntax or format details. Baseline 3.

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 retrieves full details of a specific candidate by ID, listing included fields (applications, tags, skills, location). It distinguishes from sibling tools like search_candidates and list_candidates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use this tool (when you have the candidate ID) and when to use search_candidates first. Provides clear guidance.

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/kula-ai/kula-mcp-server'

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