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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds useful context: it mentions the return contents (score, top gaps, shareable brief path) and clarifies that no API key is required. It also explicitly states what the tool is not (an LLM ranking). No contradictions with annotations exist.

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 short, front-loaded sentences. Each sentence adds value: what it returns, what it is not, and a key operational fact (no API key). No word is wasted, and the structure is easy to scan.

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 tool has only two parameters, both well-documented in the schema, and an output schema exists (per signals). The description covers the core purpose, output components, and an authentication detail, making it complete for an AI agent to decide and invoke correctly. The output schema covers return-value details, so the description does not need to.

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 description coverage is 100%, so the schema already documents both parameters (url and domain) including their formats and constraints. The description does not add extra meaning about the parameters themselves, though it uses 'domain' in the text. Baseline of 3 is appropriate given high schema coverage.

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 tool returns an executive structural brief for a domain, enumerating the contents (score, top gaps, shareable brief path). The verb 'Return' is specific, and the resource ('a domain') is explicit. The note 'Not an LLM ranking' further differentiates it from potential similar tools.

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 implies when to use (when an executive structural brief is needed) and explicitly states a when-not ('Not an LLM ranking'). It also mentions 'No API key required,' providing context for ease of use. However, it does not explicitly reference sibling tools or provide alternative recommendations beyond that single exclusion.

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