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

With no annotations, the description carries the full burden and delivers meaningful behavioral detail: 500-entry cap on saved lists, pagination capped at 100, and the exclusion of home and language-switch pages from contamination_loops. It omits the output shape for non-link anomaly kinds and any permission/auth requirements, so not exhaustive.

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?

Dense but front-loaded: the purpose and the sibling contrast come first, followed by the anomaly taxonomy and operational limits. Every clause adds information, though the single unbroken paragraph makes it harder to scan than a structured list would.

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 read-only listing tool with no annotations and no output schema, the description covers the anomaly taxonomy, what link entries return (URL, cluster, anchor text of both ends), the 500-row cap and 100-row page size. Remaining gaps are the meaning of 'view' and the response shape for non-link kinds.

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 only 17%, so the description must compensate, and it does for the key parameter: all ten 'kind' enum values are defined with meaning (e.g. orphan, sink, cannibalization with reason), which the bare enum names do not convey. Pagination bounds are also covered. However, the 'view' enum (auto/structural/ai) and 'offset' are left unexplained.

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?

States a specific verb and resource ('Elenco dettagliato di un tipo di anomalia della topical architecture') and immediately distinguishes itself from the sibling get_topical_architecture by noting that the latter 'dà solo i conteggi'. An agent can tell the two apart without opening either schema.

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 contrast with get_topical_architecture ('dà solo i conteggi') gives a clear selection condition: use this tool when detail is needed, the other when counts suffice. It does not name other plausible alternatives or state explicit exclusions, so it stops short of a 5.

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