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TakeMeUp.cv – CV & Resume Builder

Match CV to a job (PRO)

match_takemeup_cv_to_job

Score how well one of the user's CVs matches a job description, with the matching and missing skills and keywords. PRO and AI consent. Use when the user shares a job ad and asks whether they're a good fit or what to add. Returns {result:{score,…}} or a plan gate.

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 full 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?

Adds real context beyond annotations: 'PRO and AI consent' prerequisites and 'Returns {result:{score,…}} or a plan gate', which tells the agent to expect a gated failure mode. The annotations already flag non-readOnly and non-idempotent behavior, and the description does not contradict them; it simply does not explain why repeated calls differ.

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: purpose first, then the invocation trigger, then prerequisites and return shape. Nothing is redundant with the title and every sentence carries information an agent needs.

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?

Covers the core needs for a gated scoring tool: what it computes, when to call it, the PRO/AI-consent prerequisite, and the two possible response shapes. There is no output schema, and the shape sketch plus the honest mention of a plan gate is adequate, though a bit more on what the score fields mean would make it 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 description coverage is 100%, so cvId, locale, and jobDescription are already well documented, including the pointer to list_my_takemeup_cvs. The description adds no parameter-level detail beyond implying a job-ad text and a chosen CV, so the 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?

States a specific verb and resource: 'Score how well one of the user's CVs matches a job description' and names the outputs (matching/missing skills and keywords). It does not explicitly distinguish itself from the similarly-scoped sibling analyze_takemeup_cv_ats, so it stops short of a 5.

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?

Gives a concrete trigger: 'Use when the user shares a job ad and asks whether they're a good fit or what to add.' That is clear context for invocation, but it names no alternative tool and states no exclusion (e.g., versus ATS analysis), so it is not a full 5.

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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