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

Annotations cover the safety profile (readOnly, idempotent, non-destructive), and the description usefully adds conditional output behavior: likely levels, claim_message for likely claims, and policy.refund_paid_as flagging store-credit stores. Rich behavioral context beyond the annotations, though return format details remain partial.

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?

Front-loaded with the core question and then the return contents, so an agent gets the essentials immediately. The opening sentence duplicates the title and the example quote is slightly verbose, but overall it is dense and purposeful.

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 params, no output schema, and only one required field, the description carries the return-value burden and does so reasonably, enumerating likelihood outcomes, amounts, steps, and message fields. Minor gaps remain around link/deadline edge cases, but nothing an agent needs to call it correctly is missing.

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 already 100%, so the baseline is 3, but the description adds consequence-level meaning: an item name triggers price-check links, purchase_date adds claim deadlines, and country selects UK policy and local links. This goes beyond restating the 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 action and resource — assessing whether a price-drop claim is likely, with the amount and steps — reinforced by a concrete example request. It is clearly distinguishable from siblings like get_store_policy or list_stores, though it never names them explicitly.

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 example request ('I bought a TV at Best Buy 9 days ago...') makes the intended use case concrete and unambiguous. It stops short of naming alternatives or when-not-to-use conditions, so no explicit routing guidance.

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