cancel_starbucks_order

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

No annotations are provided, and the description carries the full burden for behavioral disclosure. It only states the action without explaining consequences (e.g., irreversibility, side effects, authentication requirements, or what happens if the order is not pending). For a destructive operation, this is a significant gap.

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 a single, front-loaded sentence with no wasted words. It is concise and directly conveys the tool's purpose.

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 a mutation tool with no annotations, no output schema, and an empty input schema, the description is insufficient. It fails to explain how the order to cancel is identified or any behavioral context (e.g., whether it cancels the most recent order, requires login, etc.). The empty schema raises critical questions that the description leaves unanswered.

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?

The input schema is empty (0 parameters), so there is no parameter semantics to explain. The baseline for 0 params is 4, and the description does not need to add parameter information since none exist.

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 verb (Cancel), resource (Starbucks order), and scope (pending). It distinguishes from sibling tools like confirm_starbucks_order and order_starbucks_favorite by specifying the action and target.

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 for pending orders, providing some context. However, it does not explicitly state when to use this tool vs alternatives, nor any prerequisites like authentication. The 'pending' qualifier gives partial guidance but no exclusions or alternative references.

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