Skip to main content
Glama

spraay_bittensor_embeddings

Generate embeddings from Bittensor models with pay-per-use pricing in USDC. Provide a model name and input text to get vector representations for AI tasks.

Instructions

Bittensor embeddings. Costs $0.005 USDC per call. Provide the listed fields as typed arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesinput parameter
modelYesmodel 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.
Behavior2/5

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

Annotations are sparse (no readOnly, idempotent, or destructive hints). The description adds only the cost and a generic instruction to provide typed arguments. It does not disclose side effects, required permissions, or any behavioral quirks beyond what annotations already declare. With openWorldHint=true, the description should explain that the schema may not fully constrain inputs, but it does not.

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

Conciseness3/5

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

The description is very short (3 sentences) and front-loaded. However, the brevity comes at the cost of missing critical details like the action verb and parameter semantics. It is not well-structured; the cost is mentioned but not placed in context of usage.

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?

Given the existence of a similar sibling tool ('spraay_compute_embeddings'), the description is insufficient for correct selection. It does not differentiate from compute_embeddings. Although an output schema exists, the description does not leverage it to explain expected results. The tool is simple (2 params), but even so, completeness is lacking.

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?

The input schema has 100% coverage but the parameter descriptions are tautological ('input parameter', 'model parameter'). The description adds no meaningful semantics beyond the schema, only a redundant instruction to provide typed arguments. It fails to explain what values are expected for 'model' or 'input' (e.g., text, IDs).

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 'Bittensor embeddings' is a noun phrase lacking an explicit verb. It does not clearly state that the tool generates or creates embeddings, leaving the action ambiguous. It is not a tautology because it provides some resource context, but it is vague.

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 provides no guidance on when to use this tool versus alternatives such as 'spraay_compute_embeddings'. The cost mention ('Costs $0.005 USDC per call') is a constraint but does not help the agent decide between similar tools. No exclusions or usage contexts are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/plagtech/spraay-x402-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server