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spraay_bittensor_models

Read-only

Query Bittensor AI models using pay-per-request with USDC. Pass query parameters as a JSON string.

Instructions

Bittensor models. Costs $0.001 USDC per call. Read-only. Pass any query parameters as a JSON string via the params argument.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoQuery parameters as JSON (e.g. {"key":"value"})

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.
Behavior4/5

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

The description adds cost information ($0.001 USDC per call) beyond the annotations, which is valuable. It confirms read-only behavior, aligning with annotation. No contradictions.

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?

The description is short (three sentences) and front-loaded with the vague purpose. It could be improved by adding a verb, but it is not verbose.

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 fails to clarify what the tool does with 'Bittensor models' or what the output represents. The purpose is too vague for an agent to confidently select this tool.

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 coverage is 100%, so baseline is 3. The description adds 'any query parameters' which slightly clarifies flexibility, but largely repeats the schema.

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

Purpose2/5

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

The description states 'Bittensor models' without a verb, leaving ambiguity about whether it lists, retrieves, or queries models. It does not clearly specify the action performed, making it vague compared to sibling tools with clearer names.

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?

There is no explicit guidance on when to use this tool versus other Bittensor tools like spraay_bittensor_chat_completions or spraay_bittensor_embeddings. The cost and read-only nature are mentioned but not in a decision-making context.

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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