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

Annotations give only readOnlyHint=true and openWorldHint=false, so the description adds the meaningful behavior: free summary, first full report free (a cost/paywall signal), data measured from employers' own careers sites, and the async "building" state with retry_after_seconds for unpublished roles. That retry/readiness disclosure is exactly the kind of context an agent needs and cannot get from 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?

Front-loads what the report is and what it returns, then moves to identification and the async status. The output-metric sentence is a long run-on with stacked parentheticals, so it is dense rather than maximally tight, but there is little wasted content given there is no output schema.

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?

Complete and useful for a read-only benchmarking tool with no output schema: it describes returned fields, the free/full split, data provenance, and the "building" retry path. Minor gaps remain around what happens after the free full report (cost/limits) and permissions, which are not addressed.

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?

With six parameters at 50% schema coverage, the description compensates by explaining the valid identification combinations: job_url (careers-site link or veritahire.com/j/ link), job_id, or employer + title (+ city, state). It adds format and combination semantics beyond the bare schema, though city/state/title/employer semantics are only implied by the grouping.

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?

States a specific resource (Competitive Hiring Report) and precise scope (one US healthcare clinical job posting that is not filling), then enumerates the returned metrics. It never names a sibling tool, so differentiation from get_job or request_full_report is left implicit, which keeps it at a 4.

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 a clear triggering context: a single US healthcare clinical role that is not filling, with the qualifier that a not-yet-benchmarked role returns status "building" plus retry_after_seconds. Alternatives (e.g. the full-report request path) are described conceptually but the sibling tool is never named, so no explicit when-not guidance.

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