Skip to main content
Glama

get_diligence_checklist

Get the structured Blast Radius diligence checklist: the key anti-patterns and durable-startup characteristics used to assess AI-first companies against the Frontier Line, each with a pitch question for conversations with a business.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_diligence_checklist"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the burden, and it does disclose the shape and nature of the returned material: a structured checklist of anti-patterns, durable-startup characteristics, and per-item pitch questions. It omits whether the content is static/versioned and how it is formatted, which would matter without an output schema.

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?

A single front-loaded sentence with a colon introducing the three content elements; every clause adds information and nothing is repeated from the name.

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 reference fetch with no output schema, the description says enough about what comes back to call it correctly. It could go one step further and state the data format or whether the checklist is fixed content, which is the only remaining gap.

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?

Zero parameters, so the schema baseline of 4 applies. Nothing in the description suggests hidden inputs or filters, consistent with the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource: "Get the structured Blast Radius diligence checklist", followed by a concrete inventory of its contents (anti-patterns, durable-startup characteristics, pitch questions). It implicitly separates itself from assess_against_frontier_line by being a fetch of the checklist rather than an assessment, but never names that sibling explicitly.

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?

No explicit when-to-use or when-not-to-use guidance. The phrase "for conversations with a business" hints at the context of use, and the absence of parameters implies a static reference fetch, but the agent must infer when to call this versus assess_against_frontier_line.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources