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

Annotations already declare this as a read-only, idempotent, non-destructive, closed-world operation, so the safety profile is covered. The description adds genuine behavioral context beyond that: the score range (0-100) and the null-when-unscored edge case, which tells the agent to expect missing values.

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?

Two sentences, front-loaded with the action and scope, with the chaining hint at the end. The long enumeration of returned fields is somewhat redundant given an output schema exists, but it remains readable and each item is meaningful.

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, read-only list tool with a full output schema and complete annotations, the description covers what an agent needs to select and invoke it. The field enumeration duplicates the output schema, so it adds little, but nothing essential is missing.

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 no parameters, so the baseline of 4 applies. The description correctly does not invent parameter semantics, and the id reference points to fields returned rather than inputs.

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 states a specific verb+resource ('List the domains this workspace tracks for AI visibility') and scopes it clearly to the workspace. It stops short of differentiating from adjacent siblings like list_sites, so an agent must infer whether 'domains' and 'sites' are the same concept.

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 closing sentence 'Use the id with the other domain tools' implies a chaining workflow (call this first, then use the id with add_domain/remove_domain/recrawl_domain). However, there are no explicit when-to-use vs when-not conditions and no named alternatives, so guidance is only implied.

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