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okeefeco

PyEye Server

by okeefeco

configure_packages

Set up Python analysis by adding package paths, namespace repositories, and standalone script directories with recursive scanning and save configuration.

Instructions

Python: Configure additional packages, namespaces, and standalone scripts for analysis.

Args: packages: List of package paths to include namespaces: Namespace packages with their repo paths standalone_dirs: Directories containing standalone Python scripts recursive: Scan standalone directories recursively file_pattern: Glob pattern for standalone files exclude_patterns: Patterns to exclude from standalone scanning save: Save configuration to .pyeye.json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packagesNo
namespacesNo
standalone_dirsNo
recursiveNo
file_patternNo*.py
exclude_patternsNo
saveNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description must fully convey behavioral traits. It explains the configuration action and mentions saving to .pyeye.json, but does not disclose side effects, idempotency, or permissions. This adds some transparency but not comprehensive.

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 concise: a single sentence stating purpose followed by a well-structured parameter list. No wasted words, front-loaded with the main action.

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 tool has 7 parameters and an output schema (mentioned but not shown), the description adequately covers the configuration purpose and parameter meanings. It lacks usage context or behavior details but is sufficient for a configuration tool.

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?

The input schema has 7 parameters with 0% description coverage. The description includes an 'Args' section that provides brief but meaningful descriptions for each parameter (e.g., 'packages: List of package paths to include'), adding semantic value beyond the schema titles.

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 starts with a clear verb+resource: 'Configure additional packages, namespaces, and standalone scripts for analysis.' It distinctly describes what the tool does and differentiates it from sibling tools like 'analyze_dependencies'.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool vs alternatives. The description implies it is for configuration before analysis, but does not mention prerequisites, limitations, or comparison with similar 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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