GrabGPU
Server Details
Cloud GPU prices with live stock from 22 providers. Find where to rent an H100 or B300 now.
- Status
- Healthy
- Uptime
- 100.0% over 22 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
With only one tool, there is no possibility of misselection. find_gpu has a single, clearly stated purpose: locating rentable cloud GPUs.
The lone tool follows a clean verb_noun snake_case pattern (find_gpu). Nothing to contradict it, so consistency is trivially perfect.
A single tool is thin for a rental marketplace domain, even if the surface is intentionally minimal. It covers discovery only, leaving no room for filtering, provider comparison, or booking operations.
The find-to-rent flow is closed via the rent_url, so agents can complete the core task. Minor gaps exist around filtering by GPU model, region, or provider and around historical pricing, but these are workable.
Available Tools
1 toolfind_gpuFind a GPU to rentARead-onlyIdempotentInspect
Find cloud GPUs to rent now: price per GPU hour and the stock each provider reported at the last hourly check. Rentable offers come first, cheapest first. Each offer has a rent_url that opens the provider (some are referral links, same price for the buyer).
| Name | Required | Description | Default |
|---|---|---|---|
| gpu | No | GPU model, e.g. "H100", "B300", "RTX 4090". Omit for every model. | |
| limit | No | How many offers, default 20, at most 100. | |
| in_stock | No | Default true: only offers the provider reports in stock. false: also offers that are out of stock or have unknown stock, for a full market view. | |
| min_gpus | No | Smallest node size needed, e.g. 8 for an 8x node. | |
| max_price | No | Highest USD per GPU hour. |
Output Schema
| Name | Required | Description |
|---|---|---|
| unit | Yes | |
| offers | Yes | |
| captured_at | Yes | When the prices and stock were collected |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (readOnly, idempotent, non-destructive), the description discloses result ordering (rentable offers first, cheapest first), stock freshness semantics, and that some rent_url links are referrals at the same price. These are exactly the behavioral details an agent cannot infer from structured fields.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three tight sentences that front-load purpose, then ordering, then the rent_url caveat. Every sentence carries information an agent would otherwise have to guess.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With a full output schema, complete parameter descriptions, and annotations covering the safety profile, the description fills the remaining gap (ordering, stock freshness, referral links). Nothing needed to invoke or interpret results is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all five parameters (gpu, limit, in_stock, min_gpus, max_price) are already documented in the schema. The description adds no parameter-level syntax or format detail, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Find) and resource (cloud GPUs to rent) and immediately clarifies the payload: price per GPU hour plus provider-reported stock. There are no siblings to differentiate from, and the scope (rentable GPUs) is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Context is clear — this is for renting GPUs right now — and the description flags that stock reflects the last hourly check, which tells the agent how fresh the data is. With no sibling tools there is no alternative to route to, but there is no explicit when-not guidance either.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
find_gpu1 field changed- changed
Input schema / properties / in_stock / descriptionPrevious value: -"Only offers the provider reports in stock. Default true."New value: +"Default true: only offers the provider reports in stock. false: also offers that are out of stock or have unknown stock, for a full market view."
1 tool update
- Changed
find_gpu7 fields changed- added
Input schema / properties / limit / maximumAdded value: +100 - added
Input schema / properties / limit / minimumAdded value: +1 - changed
Input schema / properties / limit / typePrevious value: -"number"New value: +"integer" - added
Input schema / properties / max_price / exclusiveMinimumAdded value: +0 - added
Input schema / properties / min_gpus / minimumAdded value: +1 - changed
Input schema / properties / min_gpus / typePrevious value: -"number"New value: +"integer" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "captured_at": { + "description": "When the prices and stock were collected", + "type": "string" + }, + "offers": { + "items": { + "properties": { + "availability": { + "enum": [ + "in_stock", + "unknown", + "out_of_stock" + ], + "type": "string" + }, + "country": { + "type": [ + "string", + "null" + ] + }, + "direct_url": { + "type": "string" + }, + "gpu": { + "description": "GPU slug, e.g. \"nvidia-h100\"", + "type": "string" + }, + "gpu_count_range": { + "type": [ + "string", + "null" + ] + }, + "gpu_name": { + "type": "string" + }, + "is_referral": { + "description": "rent_url ends in a referral link; the buyer pays the same price", + "type": "boolean" + }, + "max_gpus": { + "description": "Largest node the provider offers", + "type": [ + "number", + "null" + ] + }, + "provider": { + "description": "Provider slug", + "type": "string" + }, + "provider_name": { + "type": "string" + }, + "rent_url": { + "description": "Link to give the buyer; counts the click, then opens the provider", + "type": "string" + }, + "usd_per_gpu_hour": { + "type": [ + "number", + "null" + ] + }, + "vram_gb": { + "type": [ + "number", + "null" + ] + } + }, + "type": "object" + }, + "type": "array" + }, + "unit": { + "type": "string" + } + }, + "required": [ + "captured_at", + "unit", + "offers" + ], + "type": "object" +}
1 tool update
- First observed
find_gpu
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