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pfc_browse_python_api

Browse PFC Python SDK documentation by path to access function and object details for ITASCA PFC simulations. Use dot-separated paths to navigate modules, functions, and methods.

Instructions

Browse PFC Python SDK documentation by path (like glob + cat).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiNoPFC Python API path to browse (dot-separated, starting from itasca). Examples: - None or '': Root overview - all modules and objects - 'itasca': Core module functions (command, cycle, gravity, etc.) - 'itasca.ball': Ball module functions (create, find, list, etc.) - 'itasca.ball.create': Specific function documentation - 'itasca.ball.Ball': Ball object method groups - 'itasca.ball.Ball.pos': Specific method documentation - 'itasca.wall.facet': Nested submodule - 'itasca.wall.facet.Facet': Facet object in wall.facet module

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the browsing behavior and path-based mechanism, but doesn't mention potential outputs, error handling, rate limits, or authentication needs. The 'like glob + cat' analogy adds some context, but more behavioral details would be helpful given the lack of annotations.

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, efficient sentence that front-loads the core functionality ('browse PFC Python SDK documentation') and adds clarifying detail ('by path (like glob + cat)'). There's no wasted text, and every part contributes to understanding the tool's purpose.

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 one parameter with full schema coverage and an output schema (implied by 'Has output schema: true'), the description is reasonably complete. It covers the tool's purpose and mechanism, though additional behavioral context would enhance it, especially since no annotations are provided. The output schema likely handles return values, so the description doesn't need to explain those.

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?

Schema description coverage is 100%, providing detailed examples and format for the 'api' parameter. The description adds value by explaining the path mechanism ('like glob + cat') and specifying it's for 'PFC Python SDK documentation', which clarifies the parameter's purpose beyond the schema's technical details. With only one parameter and high schema coverage, this is sufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('browse') and target ('PFC Python SDK documentation'), and specifies the mechanism ('by path (like glob + cat)'). It distinguishes from siblings like pfc_browse_commands and pfc_browse_reference by focusing on Python API documentation rather than commands or reference materials. However, it doesn't explicitly contrast with pfc_query_python_api, which might be a related query tool.

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 browsing documentation by path, but doesn't explicitly state when to use this tool versus alternatives like pfc_query_python_api or pfc_browse_commands. It provides context through the 'like glob + cat' analogy, suggesting it's for exploring and viewing documentation, but lacks clear exclusions or named 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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