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TakeMeUp.cv – CV & Resume Builder

My AI-processing consent status

get_takemeup_ai_consent
Read-onlyIdempotent

Check whether the user has given consent for TakeMeUp's AI to process their CV, which the AI features need. Consent is given once on the TakeMeUp website, not through the assistant. Use when an AI feature returns consent_required.

Input Schema

NameRequiredDescriptionDefault
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

A4.4/5.0
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, and the description adds real context beyond them by clarifying the consent grant happens out-of-band on the website. It stops short of describing what the response contains (status flag, link), which would have closed the last gap.

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 short sentences, front-loaded with what is checked, then the out-of-band consent constraint, then the invocation trigger. Nothing redundant.

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?

For a single-param read tool with annotations covering safety and no output schema, the description supplies enough to call it correctly and interpret the trigger. It only omits what a successful result looks like (status field, consent link), a minor gap.

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% and the single optional `locale` parameter is fully documented with its enum and default in the schema. The description adds nothing about locale or localization of results, so the baseline 3 applies.

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?

States a specific verb and resource: checking whether the user consented to TakeMeUp's AI processing their CV, plus the reason it matters (AI features need it). No sibling tool covers consent status, and the description makes that boundary unambiguous.

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?

Gives an explicit trigger ('Use when an AI feature returns consent_required') and an explicit exclusion: consent is granted on the website, not through the assistant, so the agent knows this is a check-only tool and must not attempt to grant consent here.

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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