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InferraTrade

@inferra-trade/mcp-server

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by InferraTrade

GPU rental price

get_gpu_price
Read-onlyIdempotent

Retrieve current USD per GPU-hour rental price for A100, H100, H200, or B200 models, including timestamp, delay status, and model state.

Instructions

Current rental price of one GPU model in USD per GPU-hour from the Inferra GPU Index, with the timestamp, whether the value is delayed, the model state (live / warming / halt), the number of sources behind it and whether it is attested on Solana mainnet. A halted model returns no price. Models: A100, H100, H200, B200.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesGPU model id: A100, H100, H200 or B200 (case-insensitive).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already flag the tool as read-only, idempotent, and non-destructive, and the description adds meaningful behavior beyond that: timestamp, delayed-value flag, model state, source count, Solana attestation, and the key rule that a halted model returns no price.

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?

The core purpose is front-loaded, and every clause carries useful information. The list of return characteristics and the halted-model behavior are dense but efficient, with no filler or repetition.

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

Completeness5/5

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

Despite having no output schema, the description enumerates exactly what the agent should expect: price, timestamp, delay status, model state, source count, attestation, and the no-price condition. With one well-documented parameter and safety annotations, nothing essential is missing.

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%, and the schema already documents the 'model' parameter with valid values and case-insensitivity. The description repeats the allowed model IDs but adds no substantial semantics beyond the schema.

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

Purpose5/5

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

States a specific verb and resource: 'Current rental price of one GPU model in USD per GPU-hour from the Inferra GPU Index.' It also distinguishes itself from siblings by focusing on a single model and a current snapshot, not comparison, history, or market summary.

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

Usage Guidelines4/5

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

Provides clear context that this tool is for a current, single-GPU price lookup, which implies when to use it versus the historical and comparison tools. It does not explicitly name alternatives or say when not to use it, but the scope is unambiguous.

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