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img_generate_processor

Generate an image processing pipeline from your project directory. Pass an API key to enable Pro/Enterprise access.

Instructions

Generate image processing pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for Pro/Enterprise
directoryYesProject directory
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the generating action already implied by the tool name and provides no information about side effects, files created, required API key usage, output, or failure behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but this is under-specification rather than effective conciseness. It omits essential operational details and therefore does not earn its place as a useful tool description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema, no annotations, and many similar siblings, a single vague sentence is insufficient. The description does not clarify what 'image processing pipeline' entails, when the api_key is required, what the directory is used for, or what the result of generation looks like.

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

Parameters3/5

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

Schema description coverage is 100%, and both parameters have clear descriptions in the schema. The tool description adds no parameter-level meaning, but the schema already documents directory and api_key adequately, so the baseline score of 3 applies.

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

Purpose3/5

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

The description names a specific verb and resource: 'Generate image processing pipeline'. However, it is vague about what kind of pipeline is produced and does not differentiate it from many sibling tools like batch_generate_processor, pipeline_generate, or even img_add_resize, so the agent gets only a broad sense of purpose.

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?

The description gives no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. With a very large sibling list containing many pipeline-generation tools, the agent is left to infer usage from the name alone.

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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