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damientilman

Mailchimp MCP

delete_promo_rule

Delete a promo rule and all its associated promo codes to permanently stop checkout promotions. Irreversible; disable instead with update_promo_rule.

Instructions

Permanently delete a promo rule and all its associated promo codes. Irreversible.

Side effect: every promo code attached to this rule is also deleted and stops working at checkout. Use update_promo_rule with enabled=false to disable a rule without deleting its codes.

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

Args: store_id: E-commerce store ID. promo_rule_id: Rule ID to delete.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYes
promo_rule_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Despite no annotations, the description fully discloses irreversible nature, side effect on promo codes, authentication, concurrency limits, read-only/dry-run mode respect, and error responses. No contradictions.

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?

The description is well-structured with separate paragraphs for behavior, side effects, usage alternatives, and sections for args/returns. Slightly verbose but no redundant information.

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?

Given the tool's simplicity (2 args, no output schema provided), the description covers all necessary aspects: purpose, side effects, usage guidelines, parameters, return format, and error handling.

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

Parameters5/5

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

Input schema has no descriptions (0% coverage), but the description provides an 'Args' section with clear explanations for both store_id and promo_rule_id, adding meaning beyond the schema.

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's purpose: permanently delete a promo rule and all associated promo codes. It uses strong verbs ('delete', 'irreversible') and distinguishes from sibling tool update_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 (for permanent deletion) and when not to (use update_promo_rule to disable). Also includes authentication, concurrency limits, and error handling (404) guidance.

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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