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ellmos-ai

ellmos-codecommander-mcp

Generate Licenses

cc_generate_licenses
Idempotent

Generate a third-party license file for npm or Python projects by reading package.json or pip packages. Outputs licenses in text, JSON, or CSV format, helping you comply with open-source license obligations.

Instructions

Generates a third-party license file for an npm or Python project.

Args:

  • project_dir (string): Project directory

  • output_path (string): Output file

  • format (string): "text" | "json" | "csv"

Reads package.json (npm) or pip packages and collects license info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_dirYesProject directory
output_pathYesOutput file
formatNoFormattext
Behavior4/5

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

Annotations already show idempotentHint=true (no side effects beyond output file) and destructiveHint=false. Description adds context: reads package.json or pip packages, so agent knows it doesn't modify project. No contradictions.

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?

Very concise: 4 lines with clear bullet for args and a short sentence on behavior. No fluff, front-loaded purpose.

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 no output schema, description doesn't detail return value, but that's acceptable. Enumerates supported project types and formats. Could mention if output file is overwritten, but idempotent hint implies content generation. Complete for a simple license generator.

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?

Schema coverage is 100% with basic descriptions. Description adds meaning beyond schema: lists allowed format values (text/json/csv) and explains project_dir is for npm or Python projects. Slightly improves on schema.

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 it generates a third-party license file for npm or Python projects. Specifies input (package.json or pip packages) and outputs (license info). Differentiates from siblings focusing on code analysis, conversion, or cleanup.

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?

Implies usage for generating license files, but no explicit guidance on when to use this vs alternatives. No mention of prerequisites (e.g., presence of package.json) or when not to use.

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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