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spraay_bittensor_images_generations

Generate images on Bittensor. Each call costs $0.05 USDC. Provide a prompt and optional model, number, and size parameters.

Instructions

Bittensor image gen. Costs $0.05 USDC per call. Provide the listed fields as typed arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNon parameter
sizeNosize parameter
modelNomodel parameter
promptYesprompt parameter

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the gateway call succeeded; false when it returned an error.
dataNoThe gateway response payload on success. The exact shape depends on the tool (see the tool description and the JSON in the text content block).
errorNoHuman-readable error message, present only when ok is false.
Behavior3/5

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

The annotations are minimal (readOnlyHint, destructiveHint, idempotentHint set to false, openWorldHint true). The description adds the cost per call, which is valuable beyond annotations, but does not disclose other behavioral traits like failure modes, rate limits, or auth requirements.

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

Conciseness4/5

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

Two sentences are concise and front-loaded with the core purpose. However, the second sentence is somewhat redundant and could be omitted or integrated.

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?

Despite having an output schema, the description lacks context on return values, potential errors, or constraints on input fields like size or model. For a tool with 4 parameters, more guidance on how to use them effectively is expected.

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

Parameters2/5

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

Schema coverage is 100%, so baseline is 3, but the description adds no meaningful semantics beyond the parameter names. The phrase 'Provide the listed fields as typed arguments' is redundant and does not clarify parameter formats, constraints, or default values.

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 it is for image generation on Bittensor and mentions the cost, making the purpose clear. However, it does not explicitly differentiate from sibling image generation tools like spraay_compute_image_generation, but the name and context are sufficient.

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 guidance is provided on when to use this tool versus alternatives like spraay_compute_image_generation. The cost hint is useful but insufficient for deciding between similar 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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