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TakeMeUp.cv – CV & Resume Builder

Career GPS (PRO)

run_takemeup_career_gps

Suggest realistic next roles for the user based on one of their CVs, with the skills to build for each. PRO and AI consent. Use when the user asks what job to aim for next or how to change career.

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?

The description discloses two gating facts the annotations do not: the tool is PRO-gated and requires AI consent. That is valuable precondition context for a non-readOnly call. It stops short of saying whether a run is consumed against an addon quota or whether results are persisted, so it is not fully transparent.

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 sentences, front-loaded with the outcome and ending on the trigger. The fragment 'PRO and AI consent.' is telegraphic but dense with useful information, so it earns its place despite the clipped phrasing.

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 usefully sketches the return shape (next roles plus skills per role) and flags the PRO/consent prerequisite. For a 2-parameter, closed-world generation tool that is nearly sufficient; only quota/persistence behavior is left unstated.

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 both cvId and locale are already documented in the schema, including where to get the CV id. The description only restates the CV input ('based on one of their CVs') and says nothing about the locale parameter or output language, so it adds little beyond the schema. 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 output: 'suggest realistic next roles' plus 'skills to build for each', scoped to one CV. It is distinguishable in substance from match_takemeup_cv_to_job and explain_takemeup_career_gaps, but no sibling is named, so the agent must infer the boundary itself.

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 what job to aim for next or how to change career' gives a concrete trigger condition. It lacks any when-not clause or explicit routing away from the near-neighbour match/explain tools, so the routing is clear but not exhaustive.

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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