mailchimp_products

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

With no annotations provided, the description carries the full burden. It implies read-only behavior through the action verbs (list, details, variants), but does not explicitly state that no modifications occur, nor does it disclose any authentication requirements, rate limits, or side effects. It clarifies parameter dependencies which is useful, but leaves safety profile ambiguous.

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 extremely concise—two sentences—and front-loaded with the primary purpose. The action breakdown is structured clearly and efficiently, with zero filler or redundant information.

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?

The description adequately covers the tool's functionality by listing all four actions and their required parameters. It does not describe return formats in detail, but no output schema exists, and for a data-retrieval tool with clear actions, this is sufficient. Minor gaps remain (e.g., pagination details), but those are covered in the schema.

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 schema already provides 100% coverage with clear descriptions for all parameters, but the tool description adds meaningful semantics by explaining the action enum and how product_id/variant_id relate to each action. This goes beyond the schema's individual parameter descriptions.

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 tool's purpose: 'Product catalog and variants for one e-commerce store.' It distinguishes from sibling tools by focusing specifically on product-related data, and the action list provides specific verbs for different retrieval scenarios.

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 gives context about the e-commerce store scope and breaks down when each action is appropriate (e.g., 'needs product_id'), but it does not explicitly compare to sibling tools or state when not to use this tool. The guidance is implied rather than clearly stated.

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