Api compliance assessments analytics retrieve

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description contributes the aggregation shape (grouped by framework and domain), which is genuinely extra context, but says nothing about pagination, filters, or result scope.

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?

One short, front-loaded sentence with no filler. It is efficient, though its brevity is partly the reason other dimensions are thin.

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 and no parameters, the description is the only source of shape information, and it only says the data is grouped by framework and domain. For an analytics/reporting tool whose return structure matters, that leaves notable gaps about which metrics are included.

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?

The tool takes zero parameters, so the schema carries no semantics to compensate for and the baseline is 4. Nothing in the description misleads about inputs.

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 names a verb and resource ("Returns compliance analytics data") and adds a grouping dimension (by framework and domain), which is more than a restatement of the name. However, against a very dense sibling set of compliance-assessment analytics endpoints (donut_data, per_status, global_score, section_compliance, controls_coverage), it does not distinguish what makes this aggregate view different from those.

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 statement of when to use this over the many other analytics retrieve endpoints, no prerequisites, and no exclusions. The agent must infer selection purely from the endpoint name.

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