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

Annotations cover the safety profile (readOnlyHint, openWorldHint=false), and the description usefully clarifies that nothing is created or quoted here — it only returns a link and the customer completes the work externally. That downstream behavior is context an agent could not infer from the annotations alone.

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, no waste: the audience condition and example parts come first, then the mechanics and expected outcome. Nothing is repeated from the schema or annotations.

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?

There is no output schema, so the description must explain the return value — and it does, stating it returns a link. Combined with the single well-documented parameter, an agent has everything needed to call this correctly and set user expectations.

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 parameter already documents format and units, so the baseline is 3. The description adds value by stating what the input is used for — pre-filling the external designer — which explains why the free-text description matters rather than just what it contains.

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 action and outcome: returns a pre-filled link to Mandarin 3D's AI part designer, with concrete example use cases (knob, clip, bracket, box, spacer, enclosure). It doesn't name a sibling explicitly, but the 'without a 3D model' framing implicitly separates it from file-based tools like quote_file.

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?

'For customers without a 3D model' gives a clear selecting condition that routes the agent away from file-upload tools, and the downstream flow (adjust, see price, order) sets expectations. It stops short of naming an alternative tool or stating exclusions explicitly.

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