create_custom_cutter_checkout

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

With no annotations, the description carries the full burden. It does disclose that the tool generates a checkout URL and is transactional in nature, but it does not mention side effects like order creation, idempotency, authorization requirements, or whether customer contact details are mandatory for certain order types. This is a partial disclosure with clear gaps.

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 sentence contains the core action and outcome with no filler. It is front-loaded with the primary purpose and reads naturally, making it easy for an agent to parse.

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?

The tool has 12 parameters and no output schema, yet the description only provides a one-line summary. It does not explain the expected response shape, prerequisites, or notable parameter combinations (e.g., physical vs. digital order requirements). An agent would struggle to understand the full call context without opening the 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?

Schema description coverage is 100%, so the input schema already documents every parameter, including enums, defaults, and constraints. The description adds no parameter-specific meaning beyond the high-level 'personalized' cookie cutter concept, so the baseline of 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?

The description states a specific, compound action: design a personalized 3D-printed cookie cutter and generate an Instant BLIK checkout URL. It clearly identifies the tool's output (payment URL) and distinguishes it from the sibling lookup tools, which retrieve specifications or lists.

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 gives no guidance about when to choose this tool over its siblings, such as 'use list_available_shapes_and_fonts first' or 'for available specs use get_cutter_specifications.' The intended workflow must be inferred solely from the tool's name and the sibling names.

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