confirm_starbucks_order
Confirm and submit your reviewed Starbucks order to finalize it.
Instructions
Confirm and place a pending Starbucks order after review
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Confirm and submit your reviewed Starbucks order to finalize it.
Confirm and place a pending Starbucks order after review
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It states the action ('Confirm and place') but does not disclose whether placing the order is irreversible, triggers a charge, or what the response/confirmation looks like. This is a significant gap for a mutating tool that finalizes a transaction.
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 one sentence, front-loaded with the action, and every word contributes meaning. It is suitably concise, though it could include a brief note on prerequisites or effects without becoming bloated.
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?
For a mutation tool with no annotations and no output schema, the description is too sparse. It lacks critical context such as the prerequisite of having a pending order, the irreversibility of placing the order, and any confirmation details. The empty input schema does not compensate for these omissions.
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 tool has zero parameters, so the schema is trivially complete at 100% coverage. The description does not need to explain parameters, and per the guidelines, a baseline of 4 is appropriate for zero-parameter tools.
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 uses a specific verb 'Confirm and place' with a clear resource 'a pending Starbucks order', and the phrase 'after review' distinguishes this from siblings like cancel_starbucks_order or order_starbucks_favorite. It uniquely identifies the tool's role in finalizing an already-created order.
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 ('after review') but provides no explicit when-to-use or exclusions, and does not mention alternatives like cancel_starbucks_order for changing one's mind. It gives a hint that this is the final step in an order workflow, but the guidance is not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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