mcp-data-analysis-agent

by hassanvfx

Overview Schema Source Related Servers Discussions Admin

Python

Local

configure_demo

Create a seeded retail demo dataset only after receiving explicit user approval.

Instructions

Create a seeded retail demo only after the user explicitly approves it.

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": "configure_demo"
  }
}

Input Schema

Name	Required	Description	Default
`confirmed`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 7, 2026

TDQS

A4.2/5.0

Behavior3/5

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

With no annotations, the description carries the burden of revealing behavior. It discloses that the action creates a demo and requires approval, but it does not mention potential side effects such as overwriting data, resource usage, or reversibility.

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?

One concise sentence that communicates both the action and the required precondition. No unnecessary words or repetition.

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 simple boolean-parameter tool, the description provides sufficient context for when and how to call it. It does not describe the output, but given the low complexity and presence of an output schema, this is not a significant 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?

The description strongly implies that the boolean 'confirmed' parameter should be true only after explicit user approval, giving meaning to an otherwise undocumented parameter. This adequately compensates for the lack of schema-level descriptions.

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?

Clearly states the action — create a seeded retail demo — and includes the critical precondition of explicit user approval. This distinguishes it from the many sibling tools by specifying a concrete resource and operation.

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?

Explicitly instructs that the tool should only be used after user approval, providing a clear trigger condition. It does not name alternatives, but the condition is strong enough to guide appropriate invocation.

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