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black-dash77

ORA

by black-dash77

ora_check_patterns

Retrieve learned patterns and verify detected conventions for a project, with optional filtering by category such as naming, imports, structure, or components.

Instructions

Retourne les patterns appris pour un projet. Permet de verifier les conventions detectees.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoFiltrer par categorie
project_pathYesChemin du projet
Behavior3/5

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

No annotations are provided, so the description carries full burden. It indicates read-only behavior (returns data) but lacks details on authentication, data limits, or format of returned patterns.

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 front-loaded with purpose, no wasted words, and easy to parse.

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?

For a simple tool with two parameters and no output schema, the description is adequate but could elaborate on the structure of returned patterns or any limitations.

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% with descriptions for both parameters. The tool description adds context about patterns and conventions but does not enhance parameter semantics beyond the 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?

The description clearly states the tool returns learned patterns for a project and verifies detected conventions, with a specific verb and resource that distinguishes it from siblings like ora_learn_patterns.

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 description implies usage for verification of conventions but does not provide explicit when-to-use or when-not-to-use guidance, nor does it contrast with alternative sibling tools.

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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