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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is known. The description still adds real value by stating 'opens nothing by itself' and that it returns screens/buttons/fields step by step, which confirms the read-only nature in behavioral terms. The trailing note 'CapCut's official API: Partly' is vague and adds noise rather than information.

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 core behavior and the follow-up instruction are front-loaded, which is good, but the opening clause naming ChatGPT, Claude and 'any AI agent' is filler for an agent audience and 'CapCut's official API: Partly' is an unexplained fragment. The prose is also slightly awkward in tense and structure.

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 zero-parameter, read-only guidance tool with no output schema, the description covers what is returned and that nothing is executed. However, it never explains how the guidance is scoped without any parameter identifying the draft (e.g., whether it is generic), and the 'Partly' API note is left unexplained, leaving a real question unanswered.

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 (additionalProperties: false) and schema coverage is 100%, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter meaning is missing because none exist.

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 verb and resource (share a draft for review in the user's CapCut account) and immediately clarifies the real behavior: it returns step-by-step instructions rather than performing the share. It does not distinguish itself from cotlet_app_guide or the cotlet_browser_* tools beyond naming them as the follow-up, so it stops short of a 5.

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?

It gives a clear usage context (agent needs to guide a share-for-review flow) and an explicit handoff: perform the actual steps with the cotlet_browser_* tools in the user's CapCut Cloud Browser. It does not state when not to use it or name a preferred alternative among the many browser tools, so no exclusions are covered.

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