timps-swarm

timps_agent_composer

Turn a natural-language description into a ready-to-run Python agent file. Provide context and pick a language to generate functional agent code that solves your task.

Instructions

Generate a new fully-functional Python agent file from a natural-language description.

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": "timps_agent_composer"
  }
}

Input Schema

Name	Required	Description	Default
`request`	No	Plain-English task or context for the agent.
`language`	No	Primary programming language (default: python).	python

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.2.1Aug 20, 2026

TDQS

B3.4/5.0

Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It implies creating a file but does not state side effects (e.g., file location, overwrite behavior), required permissions, or what the result/response looks like. This is a significant gap for a generation/mutation tool.

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, front-loaded sentence that communicates the core purpose with no wasted words. It is appropriately sized for a tool whose parameters are already well-documented in the schema.

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

Completeness2/5

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

This is a code/file-generation tool with no output schema and no annotations. The description does not explain return values, file output behavior, error conditions, or when it should be chosen over related generation tools. For a tool with potential side effects, this is incomplete.

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?

Schema description coverage is 100% for both parameters ('request' and 'language'), so the schema already explains them. The description adds minimal semantic value by linking 'natural-language description' to the request parameter and 'Python' to the default language, but does not need to compensate.

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 uses a specific verb ('Generate') and names the resource ('new fully-functional Python agent file') and source ('natural-language description'). It clearly differentiates from sibling tools which list, dispatch, or run agents, not create new agent files.

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?

The intended use is implied by the description ('generate a new agent file'), but there are no explicit when-to-use instructions, exclusions, or comparisons to alternatives such as timps_mcp_server_generator or timps_list_agents. It is intuitive but not explicitly guided.

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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