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

Beyond the annotations, the description discloses the return shape (score plus matched/missing terms) and a concrete quota ('200 per day per IP') with a pricing pointer, which is real behavioral context an agent cannot get from the schema. The annotations declare readOnlyHint=false and idempotentHint=false for what reads as a pure computation, and the description does nothing to explain that mismatch, so a small gap remains.

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 sentences, front-loaded with the return value, with no filler. The embedded pricing JSON and URL are more verbose than needed for a tool call decision, but they are informative rather than padding.

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 does a good job explaining what comes back, and it adds quota/cost context. However, for a two-required-string tool with zero schema documentation, the description should explain what each input is and any formatting expectations, which it omits entirely.

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 0% and both parameters are required, yet the description says nothing about them — no indication that job_description supplies the keywords and resume_text is the text scored, and no mention of the 20000-character limits. The phrase 'terms you matched and the ones missing' only faintly implies a keyword-vs-document comparison.

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?

The description gives a specific verb and result ('Returns a 0 to 100 keyword match, the terms you matched and the ones missing'), which clearly distinguishes this scoring tool from the get/list siblings. It never names the inputs (resume vs. job description) as the things being compared, so the purpose is clear on the output side but slightly under-specified on the operation itself.

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?

There is no when-to-use guidance, no mention of prerequisites (e.g., needing text you already retrieved via careerpro_resume_get), and no routing to or away from any sibling. The agent must infer the entire usage context from the tool name and schema.

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