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TakeMeUp.cv – CV & Resume Builder

AI rewrite (PRO)

rewrite_takemeup_cv

Rewrite the summary and bullet points of one of the user's CVs to be stronger and more results-focused, optionally tailored to a target role. Returns suggestions — save the ones the user wants with save_takemeup_cv. PRO and AI consent. Use when the user asks to improve or rewrite their CV or resume.

Input Schema

NameRequiredDescriptionDefault
cvIdYesThe id of the CV to use (get it from list_my_takemeup_cvs).
modeNoroleTailor only applies with a targetRole.
localeNoLanguage for results and links (en, de, fr, …). Defaults to the language of the user's TakeMeUp account.
targetRoleNoOptional role to tailor toward.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the annotations, the description discloses two things an agent cannot infer: the tool returns non-persisted suggestions that must be saved separately, and it requires a PRO plan plus AI consent. That consent/plan prerequisite is exactly the kind of context annotations never carry. It does not mention credit consumption or latency for an AI operation, which keeps it short of a 5.

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 tight sentences, front-loaded with the action and scope, followed by the return contract and the prerequisite. No redundant restatement of the name or title.

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 does the essential work of explaining that output is suggestions rather than a saved CV, and it flags the consent and plan gates. A brief note on what the suggestions look like (or whether credits are spent) would close the remaining 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 description coverage is 100%, so all four parameters are already documented, including the 'roleTailor only applies with a targetRole' constraint on mode. The description's mention of optional tailoring to a target role restates what the schema already explains rather than adding syntax or format detail, so the baseline of 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 ('Rewrite the summary and bullet points of one of the user's CVs') plus the qualitative goal ('stronger and more results-focused'). It also distinguishes itself from save_takemeup_cv by declaring that it only returns suggestions, so an agent can separate it from write and summary-generation siblings.

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 to improve or rewrite their CV or resume' gives a clear trigger condition, and the follow-up handoff to save_takemeup_cv is explicit. It does not contrast itself with the closely related generate_takemeup_cv_summary or analyze_takemeup_cv_ats siblings, so the routing guidance is good 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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