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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description adds value beyond that by disclosing the return payload (stats, license, formats, download URL), which matters because no output schema exists.

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, zero filler: the resource and scope lead, the returned fields follow, and the accepted input forms close. Every clause carries information an agent needs.

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 one-parameter read tool with rich annotations, the description covers identity, input source, and return contents adequately even without an output schema. It does not say what happens on an unknown uid, which is the only meaningful remaining gap.

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 single parameter's schema description already states both accepted forms (search-result uid or printpal.io/model/<uid> URL). The description restates the same accepted input without adding format, validation, or error semantics, so the baseline 3 applies.

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 ('Get full details for one PrintPal model by uid') and enumerates exactly what comes back: description, license, file formats, author, stats, download URL. It also distinguishes itself from the sibling search_3d_models by naming it as the source of the uid, so an agent can route between search and fetch without opening schemas.

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 clearly establishes the usage context — the uid comes from `search_3d_models` results or a printpal.io/model/<uid> URL — which tells the agent this is the detail-fetch step following a search. It stops short of an explicit 'do not use this for searching' exclusion, but the workflow position is unambiguous.

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