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

Annotations supply only readOnlyHint, and the description does the heavy lifting: it defines the 14-day drop-off window precisely, discloses that denominators vary per task due to label-gated visibility, and explains that stepsCount excludes triggered-email steps. It also explains omission behavior (no-step and email-only tasks excluded) and that instructions-only tasks are still listed, which is exactly the kind of subtle behavior an agent could not infer.

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?

Dense but almost every clause carries real semantic weight; the purpose is front-loaded. It is a single long paragraph where the denominator, drop-off, stepsCount, and omission rules would be easier to scan as separate sentences or a short list.

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?

There is no output schema, so the description carries the return-value burden, and it defines testersCompleted, testersDropped, stepsCount, and completion semantics thoroughly. For a read-only summary tool with two simple inputs, nothing essential an agent needs to interpret or call it is missing.

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 description coverage is 100%, so both productId and onlyCompletion are already documented in the schema with their effects. The description adds no additional parameter-level meaning — its detail is about returned fields, not inputs. Baseline 3 is appropriate.

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 ('Get completion, drop-off, and ticket counts for every task in the beta') and implicitly scopes it against getBetaTasks and getStepPerformanceSummary by noting the list can be shorter and that counts are per task, not per step.

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 clear context: use it for a per-task view of completion/drop-off/tickets, and explains why this list can be shorter than getBetaTasks ('That difference is not missing data'), which heads off a common misuse. It also points at the faster path via onlyCompletion. It does not explicitly state exclusions or name every alternative (e.g., getTaskResults), so it falls short of a 5.

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