printful_get_product_availability

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering safety and idempotency. The description adds value by specifying the granularity of the check ('for each variant and technique by selling region') and the practical use case ('Critical for displaying product availability'), which helps the agent understand the tool's behavior beyond the annotations. No contradiction with annotations.

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?

The description is front-loaded with the core purpose in the first sentence, followed by details on returns and context. Every sentence earns its place by adding clarity without redundancy, and it is appropriately sized for the tool's complexity.

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?

Given the tool's low complexity (1 required parameter), rich annotations (covering safety and idempotency), and the presence of an output schema (which handles return values), the description is mostly complete. It explains what the tool does and why it's used, though it could improve by mentioning parameters or error cases, but this is not critical here.

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 0%, so the schema provides no parameter descriptions. The description does not mention any parameters explicitly, failing to compensate for the lack of schema coverage. However, with only 1 required parameter (product_id) and 2 optional ones, the baseline is 3 as the tool is simple, but the description adds no parameter-specific meaning.

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 clearly states the tool's purpose with specific verbs ('Check stock availability') and resources ('for a product's variants'), distinguishing it from siblings like printful_get_product (general product info) or printful_get_product_variants (variant details). It explicitly mentions what is returned ('in-stock/out-of-stock status for each variant and technique by selling region'), making the scope unambiguous.

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 implies usage context ('Critical for displaying product availability'), suggesting it should be used when stock status is needed for customer-facing displays. However, it does not explicitly state when to use this tool versus alternatives like printful_get_product_variants (which might include availability) or provide exclusions, leaving some ambiguity for the agent.

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