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

Annotations flag openWorld and non-read-only; the description adds genuinely new context the annotations don't carry — it is a PRO feature with a daily limit and pulls from external labour-market data (explaining both openWorldHint and why readOnlyHint is false). It doesn't state what happens when the daily limit is hit or whether a run is consumed on failure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences, front-loaded with capability then gating then trigger condition. No filler; every clause carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description helpfully states what comes back (salary ranges, demand, in-demand skills) and warns of PRO quota. Still silent on result shape/size and on limit-exceeded behaviour for a gated external-data call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both params (cvId, locale) are documented in-schema, so baseline 3 applies. The description only implies that the record is keyed to 'one of the user's CVs' and says nothing the schema doesn't already cover.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb+resource (live EU job-market read of a CV profile) and enumerates the outputs: salary ranges, demand, in-demand skills. The scope ('external labour-market data', EU) separates it from profile-analysis siblings like analyze_takemeup_cv_ats or match_takemeup_cv_to_job.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit trigger: 'Use when the user asks what they could earn or how in-demand their profile is.' No when-not or named alternatives (e.g. vs match_takemeup_cv_to_job for a specific posting), so it stops short of full routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.