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closermethod

Newsletter Growth MCP

by closermethod

get_growth_loop

Get a newsletter growth loop with mechanism, when it wins, execution rules, and failure mode. Select from lead magnet, social repurpose, cross promo, referral, or sponsorship swap, or omit for all.

Instructions

Get a newsletter growth loop with mechanism, when it wins, execution rules, and failure mode. Loops: lead_magnet, social_repurpose, cross_promo, referral, sponsorship_swap. Omit for all loops + selection logic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loopNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the output content (mechanism, when it wins, execution rules, failure mode) and the behavior when omitting the parameter. However, 'selection logic' is ambiguous and there is no mention of return type, pagination, or other behavioral details that could affect an agent.

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 two sentences, concise and front-loaded. The first sentence states the tool's purpose and output content; the second lists valid values and explains omission behavior. 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?

With only one simple parameter and no output schema, the description is fairly complete. It covers the main purpose, output content, and parameter semantics. The 'selection logic' phrase is under-specified, but overall it provides enough context for an agent to use the tool correctly.

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 schema has one parameter with an enum but no description (0% schema coverage). The description compensates by listing the valid loop values and explaining that omission returns all loops with selection logic. It adds meaning beyond the schema, though it doesn't detail each loop type.

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 gets a newsletter growth loop and lists the specific content (mechanism, when it wins, execution rules, failure mode). It distinguishes from siblings by focusing solely on growth loops, and the enumerated loop types add 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 provides clear guidance on parameter use: include a specific loop or omit for all loops plus selection logic. While it doesn't explicitly contrast with sibling tools, the scope is self-evident. It lacks explicit when-to-use versus alternatives, but the context is sufficiently clear.

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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