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

Annotations cover idempotency and non-destructiveness, but the description goes beyond them: it explains the mutation's purpose, the ackUrl default, and enumerates per-id return statuses distinguishing success from wrong-id/bot-identity failures. With no output schema, this return-value detail is exactly the description's burden and it is met.

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-loads purpose and effect before the usage rule and status codes; every sentence carries information. The status enumeration is dense but earns its place given the missing output schema.

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 4-param mutation tool with no output schema, the description covers purpose, when to ack, default endpoints, and full return-status interpretation, leaving no operational gap an agent needs before calling it.

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 50% (botId and projectApiKey are described in-schema), and the description compensates for the gaps by explaining eventIds batching bounds (1-100) and the ackUrl default when absent. It adds real meaning for the undocumented params rather than restating them.

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 (acknowledge), resource (QA-bot webhook events), and the concrete effect (so TestChimp stops redelivering them). No sibling tool overlaps this ack semantics, so an agent can select it unambiguously from the list.

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?

Explicitly says to ack every event handled or intentionally ignored, including expired/irrelevant ones, and that re-acking is safe. It gives clear use conditions but names no alternative tool or exclusion case (none is really needed here).

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