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

Annotations already carry the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the description is not required to restate them. It adds real value by disclosing what each row contains — status taxonomy, request frequency, workaround text, decline rationale — which tells the agent this is a rich per-item read rather than a bare list. It does not mention ordering, scoping to the caller's practice, or whether declined entries remain visible long-term, which keeps it from a 5.

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 short blocks — what it returns, when to use, when not to — front-loaded with the payload description. No filler, no restatement of the title, and the sibling routing is packed into a single terse clause.

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?

With zero parameters and no output schema, the description carries the entire burden of explaining return content, and it does so field by field, including the meaning of each status value. An agent can decide to call it and describe its result without opening anything else.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter semantics to add meaning to. The description correctly avoids inventing options the schema does not support, implying a fixed, unpaginated full list.

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?

Specific verb (lists) plus resource (the practice's feature requests) and an explicit enumeration of the payload: status values (open, planned, live, declined), ask count, workaround, and decline reason. That enumeration alone lets an agent distinguish this from every sibling in the list.

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?

Provides an explicit trigger condition ("asked what happened to something they asked for") and two named exclusions with the correct alternatives: request_feature for new asks and whats_new for recently shipped items. Both the when and the when-not are covered.

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