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

With no annotations provided, the description carries the full burden. It discloses that the tool sends queries to external LLMs, checks responses for brand mentions, and does not answer questions or delegate work. This covers key behavioral traits sufficiently, though it omits details like rate limits or cost implications.

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 three sentences: the first states the core action, the second adds detail, and the third clarifies boundaries. It is extremely concise, front-loaded, and every sentence earns its place.

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?

The description explains the tool's purpose well but does not describe the output format, which is important since no output schema is provided. Agents cannot predict whether the result is a boolean, a list of mentions, or a detailed report. This is a notable gap given the tool's complexity.

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?

Schema coverage is 100%, so baseline is 3. The description provides context for 'providers' (listing example engines) and 'prompt' (example query) but does not add significant semantic value beyond the schema descriptions. It is adequate but not exceptional.

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 clearly states the verb 'Audit' and the resource 'whether Freedom OS appears in AI-generated search results'. It differentiates from siblings by specifying it tests multiple external AI engines and is for brand visibility. It also explicitly states what it does NOT do, leaving no ambiguity.

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 positions the tool as a competitive SEO/GEO auditing tool and clarifies it is not for general Q&A or delegation. This helps agents infer when to use it, though it does not explicitly list alternative tools or scenarios to avoid.

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