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

Adds context beyond annotations: no payment is taken, a human enters details and approves, so the agent understands this is a preparation step with no financial side effect. It doesn't say whether the link expires or whether the configuration persists, which would have completed the picture.

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 short sentences, zero repetition, and the key behavioral fact (human confirms payment) is front-loaded after the return value.

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 7 parameters, a nested addons object, and full schema coverage, the description only needs to explain the workflow, which it does clearly. Minor gaps: what happens on repeat calls, link lifetime, and how it relates to create_quote.

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% and enums/defaults are documented in the schema, so the description carries no param burden. It adds nothing about how product, care, addons and quantity interact at call time, so 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 result: it returns a link to a product page with the configuration pre-filled. That is clearly distinct from get_price and list_services, though the boundary with create_quote is not addressed.

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?

It implies a workflow (prepare, then a human opens and confirms) but never says when to use this instead of create_quote, nor any prerequisites such as fetching a price or add-on ids first. No explicit exclusions are given.

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