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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds real semantic value by defining each metric, warning that they are not directly comparable, and stating negative facts (meetings excludes AI screening interviews; no count of AI interviews sent/completed). It stops short of noting that `period` is optional and what the default window is, which matters for a reporting call.

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-loaded with the core action, then the metric caveats; nearly every clause carries disambiguating information. The middle sentence is long and chains several clauses together, which costs a little readability, but no filler is present.

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 correctly takes on the job of explaining return values and does so per metric, including the shared `totalApplications` field. The remaining gap is operational: it does not state what happens when `period` is omitted, which is the one thing an agent needs before calling a zero-required-parameter reporting tool.

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 there is only one optional parameter, so the schema already carries the syntax ("7d", "30d", "90d"). The description only echoes "time window" and adds no format, default, or maximum-range detail beyond it, so the baseline 3 applies.

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 verb and resource plus scope ("recruitment metrics for the organization over a time window"), which is enough to distinguish it from the per-entity readers like get_meeting or get_stage_timing. It never explicitly contrasts itself with aggregate-ish siblings such as export_hiring_history or get_candidate_score_breakdown, so the differentiation is inferred rather than stated.

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?

The description implies when the tool applies (org-wide recruitment reporting over a period) but gives no explicit when-to-use/when-not guidance and names no alternative. An agent must infer that this is the dashboard/aggregate entry point versus the detailed per-record tools.

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