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

Adds real value beyond the annotations by disclosing that the call is non-mutating guidance-only ('opens nothing by itself'), matching readOnlyHint and destructiveHint=false. However, it never says what the returned payload actually looks like beyond 'screens, buttons, fields', and the trailing API-v2 note is dated to a future year ('checked 11 Oct 2026'), which reads as unverified and slightly undermines trust in the constraint it cites.

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 is front-loaded and clear, but filler creeps in: 'from ChatGPT, Claude or any AI agent' adds nothing, and the final sentence about Dribbble API v2 coverage is tangential justification rather than something needed to call the tool.

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, annotation-covered, non-executing tool, the description covers the essentials: what it returns, that it has no side effects, and which sibling tools complete the action. Only the exact return format and account-connection prerequisites are left implicit.

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 schema has zero parameters and is fully self-describing, so the baseline is 4. The description correctly implies no input is needed, consistent with the empty schema, and adds no conflicting parameter expectations.

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?

Names a specific verb and resource (reply to a Dribbble message in the user's own account) and explicitly corrects the misleading name by stating it 'Returns how to do it in Dribbble step by step' and 'opens nothing by itself'. That distinguishes it from the cotlet_browser_* siblings it delegates execution to, though an agent must read two sentences to learn the tool doesn't actually send the reply.

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?

Gives a clear workflow: call this to get the step-by-step procedure, then perform the actions with cotlet_browser_* tools in the Dribbble Cloud Browser. It does not state when this is preferable to skipping straight to browser tools or what to do if the account is not connected, so it stops short of full when/when-not guidance.

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