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

The readOnlyHint annotation is consistent with the 'Read' language, and the description adds useful behavioral context beyond the annotation: it requires organization context, is paginated, returns newest first by default, and explains unfiltered behavior. No contradictions are present.

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?

The description is three concise sentences with no filler or redundancy. It front-loads the core purpose and then adds relevant filter and pagination context efficiently.

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?

The description provides enough context for an agent to understand when and how to call the tool, including organization context, filtering, and default ordering. While there is no output schema or explicit response field list, the description's mention of 'who changed what, when, and whether it was a person or an API key' gives a reasonable sense of the return content.

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?

All parameters are documented in the schema with descriptions, so coverage is 100%. The description adds only minimal extra meaning beyond the schema, such as emphasizing entityId for tracing an endpoint/schema and the unfiltered behavior, but it does not substantially enhance parameter understanding.

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 clearly identifies the tool's purpose as reading the API design audit log and states exactly what information it provides (who changed what, when, and whether by person or API key). It is distinct from sibling tools like get_publish_history and get_request_logs by explicitly naming the audit log resource.

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 gives clear usage context: filtering by entityId for history before changing something not written by the user, and noting that unfiltered queries return the whole organization's history. It does not explicitly name alternative tools to use instead, but the guidance is still actionable and contextually clear.

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