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

With no annotations, the description carries the full burden and does a good job on the operational traits: it discloses the AI credit cost (3 credits, quality model), who pays (token account or project owner), and the auth requirement (write access). It stops short of explaining the effect of a write-gated 'get' call or how the list is persisted/returned.

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?

Three compact sentences with no filler: content first, cost second, access third. Front-loading the content over the cost/access notes is the right ordering, though the first sentence is dense with comma-separated clauses.

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 no annotations and no output schema, the description supplies the missing operational context (cost, payer, access level) and characterizes the returned content, so an agent knows what to expect. It is slightly incomplete on whether the call is pure read or has side effects, given the 'get_' name paired with a write-access requirement.

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%, so the schema already documents project_id, step, and node_id, and the enum for step is self-explanatory. The description adds no parameter syntax, defaults, or filtering semantics beyond what the schema provides, which is the baseline-3 case.

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 names the resource (a change list derived from open review comments) and enumerates its content categories: deduplicated/classed comments, out-of-scope requests, and contradictions with decided points. This is specific enough to separate it from list_review_comments and get_review, though the differentiation is by implication rather than an explicit statement.

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?

There is no when-to-use or when-not-to-use guidance, and no sibling is named as an alternative despite get_review and list_review_comments being obvious neighbors. The 'Requires write access' note is a prerequisite, not usage selection guidance.

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