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Workforce-Cloud-Tech

Recruit CRM MCP Server

Get Contact Details

get_contact_details
Read-only

Fetch full details for up to 10 contacts in parallel using their slugs. Ideal for retrieving specific contact records after slug resolution, with failures reported in an errors array.

Instructions

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

Input Schema

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsYes
contactsYes
failed_countYes
requested_countYes
successful_countYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful behavioral context: parallel fetching and partial result reporting with an errors array containing status_code.

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?

Three sentences, each earning its place: purpose, usage, and failure behavior. No fluff, front-loaded with the most important information.

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?

With a single parameter, high schema coverage, an output schema, and read-only annotations, the description covers the essential context. It includes when to use, limitations, and error handling, making it complete for this tool's complexity.

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 100% for contact_slugs, already defining max items, duplicate handling, and type. The description's mention of 'up to 10' and 'by slug' adds no new semantic value beyond the 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?

The description starts with a specific verb and resource: 'Fetches full details for up to 10 contacts in parallel by slug.' It clearly distinguishes from sibling tools like search_contacts (which resolves slugs) and list_contacts (which lists contacts).

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 ('after slug resolution from search_contacts'), when not to use ('Not intended for bulk database scans'), and names the alternative search_contacts. This gives clear guidance on tool selection.

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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