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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description does add genuine context beyond that: ranking counts come back null while AI ranking is off, and applicant names/emails are applicant-written (a data-trust caveat). However, it says nothing about response size, cost of the 90-day period, or whether results are cached.

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?

Purpose is front-loaded in the first clause, before the metric inventory. The remaining text is one very long run-on enumeration, which is dense to parse, but because there is no output schema each listed metric genuinely earns its place by telling the agent what comes back.

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 read-only, zero-required-parameter stats tool with no output schema, the description carries the burden and mostly does: it enumerates metric categories, flags the null-ranking edge case, and notes applicant-supplied data. It stops short of describing the response shape (grouping, key names, arrays vs objects), which would matter for a tool returning daily series and top-job lists.

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 coverage is 100% and the schema already documents both period (enum with default) and timeZone (IANA example, UTC default). The description's 'last 7, 30, or 90 days' merely restates the enum; it adds no interpretation of how timeZone shifts day boundaries or how periods interact with the daily breakdowns.

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 opening clause states a specific resource and scope: hiring progress metrics over 7/30/90 days, anchored to the app's Home page view. It is concrete about what is returned, but never distinguishes itself from the sibling get_overview, leaving the agent to guess which dashboard-style tool to pick.

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 only implied: the agent can infer this is the read-only 'how are we doing' summary, and the mention of a default 30-day window with no required params hints it can be called freely. No explicit when-to-use, when-not-to-use, or pointer to get_overview or list_applications as alternatives.

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