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TakeMeUp.cv – CV & Resume Builder

Get found: recruiter visibility

get_takemeup_get_found
Read-onlyIdempotent

For one of the user's CVs: whether verified recruiters can find it on TakeMeUp, which recruiters asked to contact the user (and their status), and how many recent views. Free. Use when the user asks about recruiter interest.

Input Schema

NameRequiredDescriptionDefault
cvIdYesThe id of the CV to use (get it from list_my_takemeup_cvs).
localeNoLanguage for results and links (en, de, fr, …). Defaults to the language of the user's TakeMeUp account.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new context: the call is free (no credit consumption) and it enumerates exactly what the response contains, including recruiter contact status. It does not state whether the data is real-time or cached, which is the main remaining behavioral gap.

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?

One dense sentence front-loads the three payload items, followed by the free-cost note and the usage cue — no filler. The triple-clause structure is slightly list-like but remains readable and every clause maps to an actual returned field.

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?

With no output schema, the description carries the burden of describing return values and does so explicitly: findability by verified recruiters, contact requests with status, and recent view counts. Only the shape of 'status' and the recency window for views are undefined, which are minor gaps for a two-parameter read tool.

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% — cvId points the caller to list_my_takemeup_cvs and locale documents the fallback to account language. The description only implies the single-CV scope ('For one of the user's CVs') and adds nothing about locale or output language, so the schema does the heavy lifting. 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 names a specific verb (report) plus the concrete resource: whether verified recruiters can find a given CV, which recruiters requested contact and their status, and recent view counts. It is scoped to 'one of the user's CVs', which pairs with the required cvId. It stops short of explicitly distinguishing itself from the sibling set_takemeup_get_found, leaving the read-vs-configure split to be inferred from the name.

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?

'Use when the user asks about recruiter interest' gives a clear triggering condition, and 'Free' signals there is no cost barrier to calling it. There are no explicit exclusions or named alternatives (e.g. answer_takemeup_recruiter for responding, or set_takemeup_get_found for changing visibility), so routing relies partly on the agent's own inference.

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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