Skip to main content
Glama
Sign In
timps-swarm

timps-swarm

by Sandeeprdy1729
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

timps_test_data_agent

Generate realistic seed or fixture data from JSON schemas, SQL DDL, or plain-text descriptions. Create edge-case-covering records in JSON, CSV, SQL, YAML, or Python formats, with locale and count control.

Instructions

Generate realistic, edge-case-covering seed / fixture data for any JSON schema, SQL DDL, or plain-text 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": {
      "schema": "<schema>"
    },
    "name": "timps_test_data_agent"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoNumber of records (default 20)
formatNojson
localeNoLocale e.g. en_US, de_DE, ja_JPen_US
schemaYesJSON schema, SQL DDL, or description

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.1

TDQS

A3.5/5.0
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 mentions generating realistic and edge-case-covering data, giving some insight into behavior, but does not detail outputs, side effects, or limitations.

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 a single, concise sentence with no redundant information. It effectively covers the core functionality without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and lack of output schema, the description sufficiently indicates the generation of seed data, but does not specify return format or error handling. It is adequate but could be more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides clear descriptions for all parameters (schema, count, format, locale). The tool description adds minimal new meaning, mostly repeating the schema's purpose, so the baseline holds.

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 generates realistic, edge-case-covering seed/fixture data for multiple input types (JSON schema, SQL DDL, plain-text description), which is specific and actionable.

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?

The description does not explicitly state when to use this tool over alternatives or when not to use it. It implies usage for test data generation but lacks direct guidance or exclusions.

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

Deploy Server

Other Tools