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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, lowering the bar. The description adds valuable context: automatic recording of every envelope response, the return payload including gate signals and a markdown document, and the semantic meaning of revision_required on the dossier. It also clarifies the tool's nature as 'factual record, not an assessment', which goes beyond the structured fields.

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 a single, reasonably dense paragraph. It front-loads the primary purpose, and each sentence earns its place: purpose, recording behavior, parameter usage, return details, alternative endpoint, and nature of the output. The aphorism 'a proper process documents itself' is slightly stylistic but not wasteful.

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?

Given the presence of an output schema and strong annotations, the description is quite complete. It covers purpose, parameter usage, return summary, and even a REST alternative. It does not discuss error handling or authorization, but those are not essential here given the read-only, idempotent nature and existing structured data.

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%, so baseline is 3. The description adds meaningful semantics by stating request_ids are compiled chronologically and last_n captures the most recent entries, and that last_n is ignored when request_ids is provided. This enriches the parameter understanding beyond the schema alone.

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+resource+output: 'Compile recorded diagnostic responses into ONE citable record'. It clearly distinguishes itself from siblings by focusing on the audit trail of past diagnostics rather than performing new analysis or assessments.

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 provides clear usage context by explaining the two parameter modes (explicit request_ids vs. last_n) and notes that last_n is ignored when request_ids are given. It also points to a REST alternative for single verbatim entries, giving a concrete 'when not to use'. However, it doesn't explicitly compare against sibling diagnostic tools, 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.