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

Annotations already declare readOnlyHint=true, so safety is covered; the description goes further by explaining that answersPercentage uses a per-step denominator of testers who could see the step, which can vary between steps. It also discloses that bugTickets counts only OPEN tickets and is beta-projects-only and otherwise absent, which is exactly the kind of conditional behavior an agent cannot derive from annotations. It stops short of describing ordering, pagination, or response shape.

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?

Four tight sentences with the core purpose front-loaded, followed by the metric caveats. Dense but every sentence carries information an agent needs; minor cost is that the output-field caveats precede any statement of when to call the tool.

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 burden of explaining key return fields — answersPercentage denominator, bugTickets scope and absence, and taskId grouping. For a single-parameter read-only summary tool this is close to complete, though the remaining response fields (raw response counts per answer option) are only gestured at.

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 single productId parameter is fully documented in the schema, including where to get valid IDs, so the baseline is 3. The description adds no further semantics for productId; its mention of taskId refers to a returned grouping field rather than an input, which is useful output context but not parameter guidance.

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 opens with a specific verb and resource: 'Summarize response counts and percentages for each step,' and adds the distinguishing focus 'highlighting bug-heavy prompts.' It does not explicitly contrast itself with nearby siblings such as getStepResults or getTaskPerformanceSummary, which report on different granularity, so an agent must infer the boundary from the name and text.

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 explicit when-to-use or when-not-to-use guidance and no mention of alternatives like getStepResults or getTaskPerformanceSummary. The only implicit cue is that the output is a per-step summary, leaving the agent to guess when this is preferable to a detailed results call.

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