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damientilman

Mailchimp MCP

delete_promo_code

Permanently delete a promo code and its redemption history. Provide store, rule, and code IDs to remove a coupon code irreversibly.

Instructions

Permanently delete a promo code. Past redemption history is lost. Irreversible.

Use update_promo_code with enabled=false to disable a code while preserving its redemption stats. Use delete_promo_rule to remove the rule and all its codes at once.

Authenticated via API key. Max 10 concurrent requests. Respects read-only and dry-run modes. Returns 404 if any of store_id, promo_rule_id, or promo_code_id is invalid.

Args: store_id: E-commerce store ID. promo_rule_id: Rule ID the code is attached to. promo_code_id: Code ID to delete.

Returns: JSON with status ('deleted'), store_id, promo_rule_id, promo_code_id on success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYes
promo_rule_idYes
promo_code_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description fully discloses irreversible deletion, authentication, concurrency limits, read-only/dry-run respect, and 404 behavior for invalid IDs.

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

Conciseness4/5

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

Well-structured with a clear section for purpose, guidelines, behavioral notes, args, and returns. Concise but missing minor opportunity to trim repetitive phrases.

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

Completeness5/5

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

Covers action, alternatives, behavioral traits, all parameters, and return format. With an existing output schema, the Returns section sufficiently describes the response.

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?

Since schema coverage is 0%, the description provides brief but meaningful explanations for each parameter (store_id, promo_rule_id, promo_code_id), adding value beyond titles.

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 tool deletes a promo code permanently, using specific verbs and resource. It also distinguishes from sibling tools like update_promo_code and delete_promo_rule.

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

Usage Guidelines5/5

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

Explicitly provides when to use alternatives (update_promo_code to disable, delete_promo_rule to remove rule and codes), guiding the agent on proper selection.

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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