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

Annotations already establish readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is known. The description adds genuinely non-obvious behavior beyond the annotations: the tool opens nothing and instead returns step-by-step guidance (screens, buttons, fields), and exposes that Ubersuggest has no public REST API or webhooks, which explains why a browser path is required.

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 facts are front-loaded and useful, but the sentence carries filler ('from ChatGPT, Claude or any AI agent') and a dated API audit note whose relevance to invocation is indirect. It remains a single run-on sentence rather than a structured statement of what it returns and what to do next.

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 correctly carries the burden of explaining the return value as step-by-step instructions including screens, buttons and fields. For a zero-parameter, read-only tool whose annotations are fully populated, this is close to sufficient, though it could be clearer about what the guidance looks like in practice.

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 there is no parameter meaning to convey; the baseline score of 4 applies. The description correctly does not waste space on arguments the schema does not define.

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 specific verb and resource (list projects) and distinguishes it from ubersuggest_create_project by stating it 'opens nothing by itself'. However, it also says it 'Returns how to do it in Ubersuggest step by step', which means the tool yields instructions rather than the project list itself; this distinction is easy to miss and slightly muddies what the tool actually returns.

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 definition sets clear context and even names the follow-on path: run this first, then act with 'cotlet_browser_* tools in the user's Ubersuggest Cloud Browser'. What is missing is any explicit 'when not to use' guidance or a pointer to a sibling for reading actual project data without the browser.

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