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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds a meaningful behavioral fact beyond annotations: it returns facts 'as our website publishes them,' signalling the data is static published documentation rather than computed/real-time. It doesn't discuss freshness or latency, but the annotations carry the safety profile.

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?

One dense sentence with the trigger front-loaded and the fact list following. The topic enumeration is long but each item is a genuine query category; minimal waste.

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 parameters, readOnly/openWorld annotations, and an output schema present, the description covers exactly what an agent needs: when to call it and what categories of facts come back. Return-value explanation is unnecessary given the output schema.

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?

Zero parameters, so the baseline is 4. The description correctly implies a no-argument retrieval of published facts, consistent with the empty schema.

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 resource (3D printing service details) with an enumerated list of covered facts (lead time, shipping, quote hold, file types, max size, refused items, upload/contact). It's clearly distinct from siblings like get_print_quote or list_materials, though it doesn't explicitly name them.

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?

Gives a clear trigger ('when someone asks how 3D Printer on Demand works') plus concrete example topics. It doesn't articulate when NOT to use it or name alternative tools, but the enumerated question types effectively scope its use.

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