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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety and closed-world profile is covered. The description adds useful scope context (a fixed set of four public sites, each with a built page) but says nothing about ordering, id format, or stability of the list.

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 short sentences, front-loaded with what the data is and then what it returns; no filler. Slightly noun-phrase-heavy at the start, which delays the action verb, but the size is appropriate.

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 listing with no output schema, the description conveys the return ('ids') and the nature of the items, which is the essential information an agent needs. It could say more about what each id maps to, but nothing critical 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 zero parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify and it correctly makes no parameter claims.

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 identifies the resource concretely (real Siteprint scans of four public sites plus the original coding-agent-built pages) rather than restating the name, and the closing clause routes it against its sibling get_example_design. It never states the verb 'list' explicitly, but the fixed-size set and return ('ids') make the purpose unambiguous.

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?

Stating 'Returns ids for get_example_design' tells the agent this is the discovery step that must precede the fetch tool, which is real usage context. It stops short of naming get_setup or saying when not to use this tool, so it lacks explicit alternatives/exclusions.

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