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Workforce-Cloud-Tech

Recruit CRM MCP Server

Get Candidate Details

get_candidate_details
Read-only

Retrieve full candidate profiles by slug, up to 10 per call, with failures listed in an errors array.

Instructions

Fetches full details for up to 10 candidates in parallel by slug. Suitable for retrieving specific candidate records after slug resolution from search_candidates. Not intended for bulk database scans. Returns partial results: failures are reported in the errors array with status_code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
candidate_slugsYesCandidate slugs to fetch. Max 10 per call. Duplicates are ignored.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsYes
candidatesYes
failed_countYes
requested_countYes
successful_countYes
Behavior4/5

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

Annotations already declare readOnly=true and destructive=false. The description adds useful behavioral context: parallel fetching, up to 10, and partial results with errors array including status_code. This goes beyond annotations, though it doesn't elaborate on rate limits or auth.

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?

Four sentences, each with a distinct purpose—capability, use-case, limitation, and error behavior. No redundant filler.

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?

For a read-only, single-parameter tool with an output schema, the description is complete: it covers purpose, usage boundaries, and error handling. The output schema covers return value shapes.

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?

The input schema already provides full parameter documentation (max 10, duplicates ignored), so the description adds little beyond restating 'by slug'. Baseline 3 is appropriate.

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 fetches candidate details by slug, with a specific limit and parallel execution. This distinguishes it from sibling search_candidates and list_candidates, which handle broader discovery.

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 suitability for retrieving specific records after slug resolution from search_candidates and excludes bulk database scans, giving clear when-to-use and when-not-to-use context.

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

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