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inspect_bank

Visualize Pyxel image banks as screenshots to verify sprite sheet organization and identify available space for game development.

Instructions

Visualize an entire Pyxel image bank as a single screenshot.

Renders the full 256x256 pixel contents of an image bank, showing all sprites and tiles at once. Useful for verifying sprite sheet organization and finding available space.

Args: script_path: Absolute path to the .py script to run. bank: Image bank index 0-2 (default: 0). scale: Screenshot scale multiplier (default: 1). timeout: Maximum seconds to wait for the script (default: 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
script_pathYes
bankNo
scaleNo
timeoutNo
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool generates a screenshot and has a timeout, which are useful behavioral traits. However, it lacks details on permissions, rate limits, or what happens on failure, leaving gaps for a tool with no annotation coverage.

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 appropriately sized and front-loaded, starting with the core purpose, followed by usage context, and ending with a structured parameter list. Every sentence adds value without redundancy, making it efficient 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?

Given no annotations, no output schema, and 4 parameters with 0% schema coverage, the description is somewhat complete but has gaps. It explains the tool's purpose and parameters well but lacks details on output format (e.g., file type of screenshot), error handling, or dependencies, which are important for a visualization 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?

Schema description coverage is 0%, so the description must compensate. It adds meaning by explaining each parameter's purpose (e.g., 'Absolute path to the .py script to run' for script_path) and default values, effectively documenting all parameters beyond the bare schema, though it could provide more detail on constraints like valid ranges for scale.

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 specific action ('visualize', 'renders') and resource ('Pyxel image bank', 'full 256x256 pixel contents'), distinguishing it from siblings like inspect_sprite or inspect_tilemap by focusing on the entire bank visualization rather than specific elements.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool ('useful for verifying sprite sheet organization and finding available space'), but does not explicitly mention when not to use it or name alternatives among the sibling tools, such as inspect_sprite for individual sprites.

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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