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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed world), and the description goes further by disclosing the shape of the payload: priority tiers, the whoDoesIt enumeration (linkgpt/you/nobody), the readyToApply bucket, and a 30-day window for recentChanges. It still omits ordering/pagination and how large the lists can get, but adds real context beyond structured fields.

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?

One dense sentence that front-loads the core purpose and then appends the secondary return buckets. Parenthetical enumerations keep it compact, though the sentence is long and slightly overloaded by the final '(with their changeId for undo_change)' 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 no output schema, the description carries the burden of explaining return values and does so for all three sections (actions, readyToApply, recentChanges) including field names. It falls short only on list size, ordering, and the default filtering behavior implied by include_done.

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 coverage is 100% and the single parameter include_done is fully documented in the schema, so the description needn't repeat it. The description does not mention that done items are excluded by default, which would have been a useful addition, so it sits at the baseline.

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 ('prioritised list of what to fix next') and enumerates the three priority buckets plus the two additional change lists it returns. An agent can tell it is the aggregate Action Center rather than a single-item read, though it never names get_action as the singular alternative.

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 is implied by the content description: this is the place to check pending approvals (readyToApply) and the source of changeId values for undo_change. There is no explicit when-to-use/when-not statement and no routing advice relative to siblings like get_action or approve_changes.

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