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sendcraftlabs

sendcraft-mcp

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sendcraft_list_topics

List email topics and categories for subscriber preferences, enabling them to choose which email types they receive, such as updates, digests, or promotions.

Instructions

List email topics/categories. Topics let subscribers choose which types of emails they receive (e.g. product-updates, weekly-digest, promotions).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral details such as pagination, rate limits, or whether it returns all topics at once. The term 'List' implies read-only, but no further operational context is given.

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?

Two sentences long, front-loaded with the operation ('List email topics/categories'), and the second sentence adds useful domain context without waste. Every word earns its place.

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 zero-parameter list operation, the description is adequate: it states what is listed and explains the domain. The absence of an output schema is compensated by the natural expectation that a list operation returns the available topics.

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?

The tool has zero parameters, so the baseline is 4. The description adds no parameter-specific meaning, but none is needed since the schema is empty and there is nothing to document.

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 uses the verb 'List' and explicitly names the resource 'email topics/categories', clearly distinguishing it as a catalog operation. It also defines what topics are, which reinforces the purpose and provides domain context.

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

Usage Guidelines3/5

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

The description implies usage context by explaining that topics let subscribers choose email types, indicating this tool is for browsing available categories. However, it does not explicitly state when to use this over sibling tools like get_subscriber_topics, so guidance is implied rather than 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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