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TakeMeUp.cv – CV & Resume Builder

Interview prep (PRO)

run_takemeup_interview_prep

Prepare the user for a job interview: likely questions for a job description, with suggested answers based on their CV. PRO and AI consent. Use when the user has an interview coming up.

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.
jobDescriptionYesThe job-ad text.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The description adds useful context beyond annotations by noting that the tool is PRO-gated and requires AI consent. It does not contradict the annotations, and it discloses key prerequisites, though it does not explain side effects or persistence behavior.

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?

The description is two tight sentences, front-loads the core purpose, and includes the key prerequisite without unnecessary detail.

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?

It explains what the tool produces, what inputs drive it, and the main gating condition. Given the rich schema coverage and absence of an output schema, this is largely complete, though it could say more about output format or what happens when consent is missing.

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%, so the schema already documents cvId, jobDescription, and locale. The description reinforces that the job description is the source text and the CV is the basis for answers, but it does not add meaning beyond the schema for locale or parameter formatting.

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 action and resource: preparing interview questions and answers from a job description and CV. It is clearly distinguishable from most siblings by the interview-prep focus, though it does not explicitly name alternatives or contrast itself with related tools.

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?

It gives a clear usage trigger: 'Use when the user has an interview coming up.' It does not include when-not-to-use guidance or explicitly route to sibling tools, so it falls short of the top score.

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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