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

Annotations already declare the mutation profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false), and the description adds genuinely new behavior: it writes a persistent artifact into a specific library, routes it to the Agent inbox for review, and returns artifact id plus conversation id. It also discloses two access rules an agent could not infer — the aiCore plan gate and the conditional CPI/SPI line tied to cost-read permission.

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?

Roughly four sentences, all front-loaded: purpose first, then mechanics, then return values, then the gate/access caveats. Dense but each clause carries distinct information; only the access/CPI sentence drifts slightly late for a caller-scoping detail.

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 two-parameter mutation tool with no output schema, the description covers the essentials: what gets produced, where it lands, what is returned (artifact id, conversation id), when the call is permitted (plan gate, project membership), and the conditional cost line. The one real gap is sibling disambiguation against generate_status_report.

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%: projectId and locale are both documented, including the accepted language code list, so the schema carries parameter meaning. The description adds nothing about parameters beyond the schema, so the baseline 3 applies.

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 (generate a weekly project status report), the content it contains (health, accomplishments, risks, next steps), where it writes (Agent Deliverables library) and where it delivers (Agent inbox). What it does not do is differentiate itself from the sibling generate_status_report or week_status, so an agent cannot tell from this text alone which of those to pick.

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?

Usage context is implied rather than contrasted: it says it is a weekly digest for review by an agent, and it states the plan gate (aiCore) and access level (any project member), which helps an agent decide if it may call at all. But there is no explicit when-to-use-vs-alternative guidance, which matters given generate_status_report, week_status and summarize_project all live next door.

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