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magento_describe

Understand complex di.xml files with AI-generated descriptions that are cached and attached to search results.

Instructions

Generate LLM-powered natural language descriptions for di.xml files using Claude Sonnet via the Anthropic API. Requires ANTHROPIC_API_KEY env var. Descriptions are cached and automatically attached to search results for di.xml files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNoForce regeneration of all descriptions, ignoring cached hashes. Default: false.
Behavior5/5

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

With no annotations provided, the description fully carries the behavioral disclosure burden. It discloses API usage, required env var, caching, and automatic attachment to search results—all critical for agent decision-making. 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?

Two concise sentences: first states core purpose, second adds critical requirements and side effects. No wasted words; front-loaded with essential information.

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 the simplicity (1 param, no output schema), the description covers purpose, requirements, caching, and integration with search results. It could mention return format, but the absence is acceptable for this tool's scope.

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 coverage is 100% (1 parameter fully described in schema). The tool description does not add extra meaning beyond the schema; it simply restates the purpose. Baseline 3 applies per rubric.

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 natural language descriptions for di.xml files using Claude Sonnet via the Anthropic API. This specific verb+resource combination distinguishes it from sibling tools like magento_search or magento_find_class, which have different purposes.

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?

The description mentions the prerequisite ANTHROPIC_API_KEY and explains caching behavior, but does not explicitly contrast with alternatives or provide when-to-use/when-not-to-use guidance. The context is clear enough for selection.

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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