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

The annotations already disclose this is read-only, idempotent, non-destructive, and not open-world. The description complements this by adding that the return value contains 'actionable yes/no items', implying a deterministic, side-effect-free response. There is no contradiction; the description's 'get/returns' language aligns with readOnlyHint=true.

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?

The description is a tight two-sentence structure where each sentence earns its place: the first states the action and resource, and the second states the return shape. There is no fluff or redundancy, and the most important verb-resource pairing is front-loaded.

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 simple, read-only, 2-parameter tool with an extensive schema and a clear output format described in the second sentence, the information package is largely complete. The one gap is the exact data structure of the returned checklist; however, the description's 'yes/no items' gives a functional sense of the shape, which is sufficient for this tool's simplicity.

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?

Since the input schema describes 100% of the parameters and even provides rich context (e.g., the 'platform' enum explains the differences between 'ios' and 'react-native'), the description carries no responsibility to repeat this. This meets the baseline, and the description itself adds no further value beyond the schema, which is appropriate here.

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 phrase "Get a pre-publish checklist" pairs a specific verb with a well-scoped resource, and the clarification that it "returns actionable yes/no items to verify before shipping" fully spells out the tool's function. This clearly distinguishes the tool from its many audit_* siblings (e.g., audit_screen, search_knowledge), which perform actual analysis or lookups rather than retrieving a verification checklist.

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 effectively conveys that this is the go-to for pre-shipping verification of a UI type, and the contrast with the audit_* tools is implied by the phrase 'before shipping'. However, it doesn't explicitly name alternatives (e.g., 'use audit_* to run an audit') or give explicit when-not-to-use guidance, leaving a small window for an agent to select a sibling against intent.

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