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

Annotations already declare this as a read-only, idempotent, closed-world lookup, so safety is covered. The description adds that each entry includes both the client-provided inputs and the resulting outputs, which is genuine content beyond the annotations, but says nothing about ordering, count, or whether descriptions are 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?

A single front-loaded sentence with no filler, and the catalog enumeration comes first. The nested parentheticals make it slightly dense to parse but nothing is wasted.

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?

With no output schema, the description carries the burden of explaining returns; 'what the client sends and what comes back' is directionally correct but imprecise about the actual shape of each entry. For a zero-required-parameter catalog tool this is adequate but leaves the agent guessing at the response structure.

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% and the enum is fully documented, so the schema does the heavy lifting. The description's parenthetical list enumerates the same six service values in prose, giving a human-readable gloss on each enum label (e.g. 'erectability check of a steel model before erection'), which is a modest value-add but not a baseline shift.

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 names the exact resource (the six Structomat service lines) and what each record carries (client inputs and returned deliverables), so the agent knows this is a service catalog rather than a computation tool. It lacks an explicit verb ('list') and never contrasts itself with sibling about_structomat, which is also an informational tool.

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?

No statement of when to call this versus about_structomat, draft_project_request, or find_examples, and no guidance on filtering by the optional `service` argument. The agent must infer usage from the tool name alone.

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