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Talenta MCP by usefulapi

Get candidate application

talenta_get_candidate
Read-onlyIdempotent

One candidate application with personal data, education and work experience. Contains personal data (ID numbers, address, salary). GET /v3/recruitment/candidates/{job_application_id}.

Input Schema

NameRequiredDescriptionDefault
job_application_idYesApplication id (talenta_list_candidates: job_application_id).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the read-only/idempotent/non-destructive profile, so the bar is lower. The description adds genuine value beyond annotations by flagging that the response contains sensitive PII (ID numbers, address, salary), which is important behavioral context an agent should surface. It stops short of describing size, pagination, or format, but that is minor.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences front-load the resource and contents, then the PII warning. No filler, and the key sensitive-data caveat is present early. It is appropriately sized for a single-parameter read tool.

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?

There is no output schema, so the description carries the return-value burden and does reasonably well, naming the three main data groups (personal data, education, work experience). The PII warning is a useful addition. It could say more about response shape, but for a simple getter it is largely complete.

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 the single parameter's meaning and source are fully documented in the schema (including the reference to talenta_list_candidates). The description merely echoes the path variable and adds no syntax or format detail beyond what the schema already provides, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource ('One candidate application') and enumerates what it contains (personal data, education, work experience), which is clear. It implies retrieval of a single record, distinguishing it implicitly from talenta_list_candidates, but does not name the sibling explicitly.

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?

Usage is only implied: a single-application getter contrasted against the list tool. There is no explicit statement of when to use this versus talenta_list_candidates, nor any prerequisites or exclusions. The schema hint pointing to list_candidates for the ID helps, but the description itself gives no guidance.

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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