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Glama

list_gpus

Every GPU with live rental pricing: cheapest $/hr, provider, tier, and VRAM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It mentions 'live rental pricing' implying real-time data but lacks details on rate limits, pagination, or what 'cheapest' means (per second?). Adequate but not rich.

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?

Single sentence, no fluff. Every word adds value. Perfectly concise.

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 no output schema, the description explains the return content (GPUs with pricing details). However, it omits sorting order or limits, which would be useful for a list tool. Still fairly complete for a simple listing.

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?

No parameters exist (0 params, 100% schema coverage). The description is not required to add parameter info. Baseline for 0 params is 4, and the description meets that.

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?

The description clearly states the tool lists all GPUs with live rental pricing, including cheapest $/hr, provider, tier, and VRAM. This verb+resource specification distinguishes it from siblings like 'cheapest_gpu' which likely returns only one entry.

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 explicit guidance on when to use this tool versus alternatives like 'cheapest_gpu' or 'search_models'. The description implies it's for a full list, but doesn't provide context for selection.

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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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct aspect: GPU rentals, model pricing, GPU history, GPU listing, model search. No overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., cheapest_gpu, get_model_prices, list_gpus, search_models).

Tool Count5/5

5 tools are well-scoped for the hosting pricing domain, covering both GPU and model pricing without being excessive.

Completeness4/5

Covers current and historical pricing for GPUs and models. Missing a tool for direct provider comparison, but core workflows are supported.

Resources