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

The annotations already declare readOnly/not-destructive/idempotent, and the description adds genuinely useful context beyond them: it explicitly says nothing is opened or changed by the call, and that the return value is procedural guidance (screens, buttons, fields). It also discloses an external constraint — Ubersuggest has no public REST API or webhooks — which explains why browser automation is required. It does not describe the shape or length of the returned steps, which keeps it from a 5.

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 sentences, front-loaded with the core behavior and the 'does not open anything' caveat placed early, which is the right ordering. The 'from ChatGPT, Claude or any AI agent' phrasing and the dated API-check note are slightly promotional/meta but still carry decision-relevant information about why the browser path is used.

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 parameterless, non-mutating helper with no output schema, the description covers the essential points: what it returns (step-by-step screens/buttons/fields), what it does not do, and which tool family to chain next. Nothing an agent needs in order to invoke it correctly is absent.

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 the baseline is 4 and there is no parameter meaning for the description to add. The schema is empty and fully described; nothing is missing at the parameter level.

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 names a concrete verb and resource ("Add tracked keywords") and immediately clarifies that the tool does not perform the action itself but returns step-by-step instructions. This is a clear, specific purpose that an agent can distinguish from sibling helpers. It loses a point only because the name/title still implies a direct write, forcing the reader to resolve that tension from the second sentence.

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?

There is real workflow guidance: 'opens nothing by itself' and 'then do it with the cotlet_browser_* tools in the user's Ubersuggest Cloud Browser', which tells the agent this is a planning step followed by browser automation. However, there is no guidance on when to prefer this over siblings such as ubersuggest_create_keyword_list or ubersuggest_add_competitors, and no stated prerequisites (e.g., whether a project or login must exist first).

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