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corpusAI Cloud Pricing

GPU models

gpu_models
Read-onlyIdempotent

Free. GPU models with rental quotes, and which providers quote them. Normalized model names (use verbatim as gpu), number of providers quoting each, quote counts, first/last snapshot day, the lowest observed USD per GPU-hour, and which hyperscaler spot instance families map to the model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
modelsNo
providersNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": true,
      +  "properties": {
      +    "models": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "first_day": {
      +            "type": "string"
      +          },
      +          "gpu": {
      +            "type": "string"
      +          },
      +          "hyperscaler_spot_legs": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "last_day": {
      +            "type": "string"
      +          },
      +          "min_price_gpu_hr": {
      +            "type": "number"
      +          },
      +          "providers": {
      +            "type": "number"
      +          },
      +          "quotes": {
      +            "type": "number"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "note": {
      +      "type": "string"
      +    },
      +    "providers": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "latest_day": {
      +            "type": "string"
      +          },
      +          "provider": {
      +            "type": "string"
      +          },
      +          "quotes": {
      +            "type": "number"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds the useful 'Free' fact (no billing) but says nothing about rate limits, auth, or when the snapshot data is refreshed. Adds a little beyond annotations but not much.

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?

Front-loaded with the key qualifier 'Free.' followed by one dense sentence enumerating contents. Every element is informative, though the long field list borders on restating the output schema. No filler or redundancy otherwise.

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?

A read-only, zero-parameter listing tool with an output schema already documented, so return values need no further explanation. The description is complete for correct invocation; the only omission is explicit routing guidance against the many sibling GPU tools.

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

Parameters4/5

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

The tool takes zero input parameters, so the baseline is 4 and no parameter explanation is required. The mention of 'use verbatim as `gpu`' is cross-tool guidance rather than a parameter of this tool, so it neither helps nor hurts.

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?

States a specific resource and scope: a catalog of GPU models with rental quotes, the providers quoting them, quote counts, price floor, and hyperscaler spot-family mappings. This is clearly distinguishable in content from gpu_quotes or gpu_index, though it never says so explicitly. Reads as a clear catalog/listing tool but stops short of naming sibling alternatives.

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?

'Free.' establishes cost context, and 'use verbatim as `gpu`' implicitly tells the agent these names feed other tools' gpu parameter. However, there is no explicit when-to-use-this-vs-gpu_index/gpu_quotes/gpu_snapshot guidance. Usage must be inferred from the content description.

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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