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archy_check

Check Python imports for forbidden layer dependencies and Stable Dependencies Principle violations after editing imports.

Instructions

Call after any Python edit that adds, removes, or changes an import statement. Returns forbidden direct edges between layers declared in archy.yaml under violations, plus Stable Dependencies Principle violations (when sdp.enabled: true in archy.yaml) under sdp_violations. Empty lists on both mean no direct boundary crossings; pair with archy_contracts for transitive (multi-hop) checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
config_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
config_pathYes
violationsYes
sdp_violationsNo
passedYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool returns violations and sdp_violations, and explains that empty lists mean no boundary crossings. However, it does not cover auth, rate limits, or other side effects. The behavioral disclosure is good but not exhaustive.

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 paragraph, front-loaded with the key usage instruction, and every sentence adds value. No wasted words.

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

Completeness5/5

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

Given that an output schema exists (though not shown), the description adequately explains what the tool returns and how to interpret results. It also distinguishes from sibling tools, making the context complete for an inspection tool.

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

Parameters2/5

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

Schema description coverage is 0%, meaning the input schema provides no descriptions for the two parameters. The tool description does not explain what 'path' or 'config_path' represent or how they relate to the config file. This omission leaves the agent with limited understanding of parameter semantics.

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 checks for forbidden direct edges and SDP violations after import changes. It explicitly distinguishes from sibling archy_contracts which handles transitive checks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance: 'Call after any Python edit that adds, removes, or changes an import statement.' It also suggests pairing with archy_contracts for transitive checks, providing clear usage context and alternatives.

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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