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

The description adds meaningful behavioral context beyond the annotations by defining hiring as 'postings opened less closed' since a specific date and explicitly clarifying it is 'never the change in openings.' It also gives a caveat about companies whose opened count was mostly found late, which helps the agent interpret results correctly. It does not contradict the readOnly/openWorld annotations.

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?

The description is short, front-loaded with the core purpose, and avoids filler. Its three sentences are mostly efficient, though the caveat sentence is slightly awkward and the final instruction about company-name resolution could be clearer.

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?

For a 9-parameter tool with no output schema, the description does well to define the core hiring metric and a key interpretive caveat. However, it does not describe the shape of the returned trend data or how breakdown lines are organized, leaving some output expectations to inference.

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%, so the schema already carries most parameter semantics. The description only lightly reinforces the scope for category and companies ('up to 10 directory companies'), but does not add meaningfully new details for days, since, until, detail, measure, coverage, or breakdown beyond what the schema provides.

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 clearly states a specific purpose: reading how tech hiring changed over a time window, either overall, by category, or for up to 10 directory companies. It is specific about the resource and scope, but it does not explicitly name or distinguish itself from sibling tools such as hiring_now or search_jobs.

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?

Usage is implied by the phrase 'changed over a window,' which suggests trend analysis rather than current snapshots or individual job search. However, the description gives no explicit when-to-use guidance, exclusions, or named alternatives among the sibling tools.

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