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

Annotations only declare readOnlyHint=false, openWorldHint=true, destructiveHint=false; the description goes well beyond by disclosing that it saves but does not apply a proposal, that saved_suggestions/review_url are produced, the double-application hazard, that re-running replaces prior saved items rather than applying, and that execution may take minutes with progress notifications. This is rich, non-redundant behavioral context.

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-loaded with the purpose, then the workflow, then the recovery path, with every sentence carrying distinct operational information. It is dense and multi-sentence, but nothing is filler; a slightly tighter grouping of the apply/decline rules would make it a 5.

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 multi-step, stateful audit tool, the description covers the full lifecycle: propose, save, review (saved_suggestions/review_url), accept/decline, the CRUD double-apply trap, re-run behavior, and a fallback when saved_suggestions is absent. An output schema exists, so return values need no further explanation.

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% and both parameters (project_id, user_message) are fully documented in the schema, so the baseline is 3. The description adds nothing about parameter formats or how project_id/user_message shape the audit beyond what the schema already states.

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+resource ('Audit the story backlog') plus the exact output ('propose story creations, updates, or deletions'), and distinguishes itself from siblings by naming suggestions_accept, suggestions_reject, suggestions_list and the CRUD story tools. An agent can tell this is a propose-only audit tool without opening any schema.

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?

Explicit lifecycle routing: apply accepted items via suggestions_accept, decline via suggestions_reject, do NOT recreate accepted items with CRUD tools (with the reason: double application), and a fallback chain (suggestions_list, then CRUD only if absent). Both when-to-use and when-not-to-use are covered, including the re-run semantics.

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