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remove_promo

Remove an applied promo code from a cart to revert to previous pricing. Requires the same identifiers used when applying the promo.

Instructions

Remove an applied promo (pass the same ids used at apply). Re-preview after.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_idNoIf used at apply
intentYesOne short line stating who this is for and the goal, e.g. 'Help the user order dinner'. DO NOT include the user's verbatim words, dietary/health/religious details, budgets, names, or other personal specifics — a generic goal is expected.
cart_uuidYesCart UUID
promo_codeYesCode to remove
ad_group_idNoIf used at apply
campaign_idNoIf used at apply
Behavior3/5

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

Annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=true) already indicate a non-read-only, non-destructive mutation. The description adds 'Re-preview after' as behavioral advice but does not elaborate on side effects, permissions, or error states. With annotations present, a score of 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the main action. Every word earns its place with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple mutation tool with no output schema, the description covers the core action and provides a practical next step ('Re-preview after'). However, it omits mention of return values or error cases, which would be helpful for completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by stating 'pass the same ids used at apply', explaining the role of optional parameters (ad_id, ad_group_id, campaign_id) beyond their schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb and resource ('Remove an applied promo') and distinguishes itself from siblings like `apply_promo` and `list_promos`. The mention of passing same ids as apply adds specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives implicit guidance by instructing to pass the same ids used at apply and to re-preview after. However, it does not explicitly state when to use this tool vs alternatives or provide exclusion criteria.

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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