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Legion33shadow

legion-ai-intelligence

get_gpu_pricing

Retrieve current GPU cloud pricing from multiple providers. Query by GPU model or provider to compare costs.

Instructions

Get current GPU cloud pricing. Providers: lambdalabs, runpod, vastai, coreweave, together, modal, replicate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpuNo
providerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden, yet it says nothing about data freshness, caching, rate limits, or auth requirements beyond 'current'. For a pricing lookup that agents may rely on for cost decisions, the liveness/source behavior should be disclosed.

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?

Two short sentences, front-loaded with the purpose and then the supported providers. No wasted words, though it is terse to the point of omitting useful detail.

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

Completeness3/5

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

An output schema exists, so return shape need not be explained. However, with zero annotations and zero schema description coverage, the description leaves parameter semantics and behavioral traits (freshness, filtering) unaddressed, so it is only minimally adequate.

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?

Schema description coverage is 0% for both parameters. The description partially compensates for 'provider' by naming valid providers, but gives no format or expected values for 'gpu', leaving half the parameters undocumented anywhere.

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 clear verb+resource ('Get current GPU cloud pricing') and enumerates the covered providers, which cleanly separates it from the sibling get_ai_model_pricing. It does not explicitly reference siblings, keeping it at 4 rather than 5.

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?

No when-to-use or when-not-to-use guidance is given. The provider list implies the tool's scope but never tells the agent when to prefer this over get_ai_model_pricing or how to frame a query.

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