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spraay_compute_futures_pricing

Read-only

Calculate futures pricing onchain by passing query parameters as JSON. Each read-only call costs $0.001 USDC.

Instructions

Compute futures pricing. 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.
Behavior3/5

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

Annotations already indicate readOnlyHint=true, and the description redundantly states 'Read-only.' It adds cost information and the param format, which are useful but limited. No additional behavioral traits like auth needed or rate limits are disclosed.

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?

Three concise sentences, each carrying distinct information: purpose, cost/read-only, and parameter usage. No fluff, efficiently front-loaded.

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

Completeness4/5

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

Given a simple single-parameter tool with an output schema available, the description covers the essential purpose, cost, and parameter format. It does not explain return values, but that is acceptable due to the output schema's existence.

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?

The input schema covers 100% of the single parameter with a clear description. The tool description merely restates the same instruction ('Pass any query parameters as a JSON string via the params argument'), adding no new meaning beyond the schema.

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 starts with 'Compute futures pricing,' which clearly states the action and resource. It distinguishes from siblings like compute_futures_balance and compute_futures_deposit by focusing on pricing computation, though it doesn't explicitly differentiate.

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

Usage Guidelines3/5

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

The description provides basic usage guidance: cost per call, read-only hint, and how to pass parameters. However, it does not include when to use this tool versus alternatives or any exclusions, leaving the agent to infer 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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