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okeefeco

PyEye Server

by okeefeco

find_extensions

Identifies Flask extensions used in Python projects by scanning specified scopes such as main project, all namespaces, or a particular namespace.

Instructions

Find Flask extensions in use.

Args: scope: Search scope (default "main"): - "main": Only the main project (default for plugins) - "all": Include configured namespaces - "namespace:name": Specific namespace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNomain

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose that the tool is read-only, safe, or has any behavioral traits. The description only states what it finds, not implications for the agent.

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: one sentence for purpose, followed by a well-structured list for the parameter. No redundant information, and the critical part (purpose) is front-loaded.

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 output schema exists, return values are covered. The description adequately explains the single parameter. Lacking a brief note on what the output contains (e.g., extension names) but is otherwise complete for the tool's simplicity.

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

Parameters5/5

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

The description elaborates on the 'scope' parameter with three explicit values and meanings, providing context beyond the schema which only defines type and default. This fully compensates for the 0% schema description coverage.

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 'Find Flask extensions in use' – a specific verb and resource. It distinguishes from sibling tools like find_models or find_routes by targeting extensions specifically.

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 like analyze_dependencies or find_references. The description does not state when to use or avoid this tool, nor does it mention alternative 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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