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generate_pitch

Transforms product, service, or business descriptions into a compelling elevator pitch. Input your text and receive a concise pitch ready for use.

Instructions

Create a compelling elevator pitch from product or business description.

Parameters:
    text — Product, service, or business description.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "generate_pitch"
  }
}

Input Schema

Name	Required	Description	Default
`text`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.4.1Jun 22, 2026

TDQS

A3.6/5.0

Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It only states 'Create a compelling elevator pitch', without revealing generative AI involvement, potential length limits, or any constraints. This lack of detail forces the agent to infer behavior.

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 extremely concise—two sentences with no wasted words. The purpose is front-loaded, and the parameter definition is immediately clear. Every part 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?

Given the tool's simplicity (single input, existing output schema), the description is largely complete. It defines the input purpose and matches the expected output of an elevator pitch. Minor gaps like clarifying 'elevator pitch' length are acceptable given the schema covers output.

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?

Although schema coverage is 0%, the description adds significant value by defining the 'text' parameter as 'Product, service, or business description.' This goes beyond the schema's bare 'string' type and clarifies the expected input content.

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 that the tool creates an 'elevator pitch' from a product or business description. This verb-noun combination is specific and distinguishes it from sibling tools like generate_slogan or generate_tagline, which produce different types of content.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention contexts where this tool is preferred, exclusions, or related tools such as generate_slogan or generate_tagline that might serve similar purposes.

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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