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okeefeco

PyEye Server

by okeefeco

find_computed_fields

Find computed fields like properties and decorators in your Python project, with scope options for main project, namespaces, or specific namespace.

Instructions

Find all computed fields (properties, computed_field decorator).

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 are provided, and the description does not disclose whether the operation is read-only, requires authentication, or has any side effects. As a find tool, it is likely safe, but this is not stated.

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 extremely concise: one sentence for purpose and a short argument list. No extra words, well-structured with an 'Args' section.

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?

With an output schema present, return values need not be explained, but the description lacks behavioral context (e.g., read-only hint) and any prerequisites, which would improve completeness given no annotations.

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 0% description coverage, but the description adds significant meaning by explaining the scope parameter's default and enumerated values ('main', 'all', 'namespace:name'), guiding the agent effectively.

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 finds computed fields, specifying 'properties' and 'computed_field decorator', which distinguishes it from sibling tools like find_models and find_field_validators.

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 explains the scope parameter options and defaults, giving clear usage context, but does not explicitly state when not to use the tool or mention 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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