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

Annotations already declare readOnlyHint=true, so the explicit 'READ-ONLY: this call changes nothing and can be repeated safely' is largely a restatement of structured data. The genuinely additive line is 'No auth needed', which is behavioral context the annotations do not carry.

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 sentences, front-loaded with what the docket contains before the auth and safety notes. The trailing 'and how to claim an item' is slightly extraneous for a read call, but nothing is bloated.

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 no output schema and no parameters, the description is the only source of shape information, and it does partially cover it by listing the returned fields and asserting no auth. It still omits volume, ordering, and pagination behavior — material gaps for a public, potentially long listing.

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 there is no parameter semantics for the description to explain; the baseline for a parameterless schema is 4. The description correctly implies the call is unfiltered ('every ask'), which is the only parameter-relevant fact.

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 states a specific resource — the log of every ask made to the platform — and enumerates its contents (statuses, lanes, timestamps, verdicts), so an agent knows what it will get back. It is metaphor-laden ('the square', 'lanes') and does nothing to distinguish itself from near-siblings like events, history, or changes, but the core verb+resource is legible.

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 gives no when-to-use guidance and never names an alternative. 'Every ask the square has made' implies an unfiltered public listing, but the agent is not told whether to prefer this over events, changes, or history, nor in what situation the docket is the right call.

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