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ParalonCloud

paraloncloud-rentals

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by ParalonCloud

create_rental

Start a GPU rental with per-minute billing, returning a rental ID once provisioning begins. Use open-ended rental by default or set an auto-stop hours cap.

Instructions

Start renting a GPU. SPENDS CREDITS (per-minute billing) — confirm with the user before calling. Asynchronous: returns a rental_id with status 'pending'. Provisioning + the secure tunnel take ~20-40 seconds. After creating, call get_rental ONCE to fetch the connection URL — it waits internally for startup and returns when ready, so do NOT poll it in a tight loop. DURATION: the rental is open-ended by default (runs until the user stops it with destroy_rental) — use open-ended as the default. When starting one, briefly tell the user it's open-ended and bills per minute until stopped, and that they can set an 'hours' auto-stop cap instead if they prefer; only pass 'hours' when the user asks for a time limit. An idempotency key is generated automatically so accidental repeats don't start a second GPU.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional label for the rental.
typeNoEnvironment to start. Only 'jupyter' is supported.
hoursNoOptional auto-stop cap: the rental stops itself after this many whole hours. Omit (the default) for an open-ended rental that runs until stopped with destroy_rental.
node_idYesNode UUID from list_gpus.
Behavior5/5

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

With no annotations provided, the description fully discloses critical behavior: per-minute billing, asynchronous pending status, provisioning time, idempotency key generation, and default open-ended duration. This exceeds transparency expectations.

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 description is dense but every sentence serves a purpose—cost, confirmation, async flow, timing, next steps, duration policy, idempotency. It is front-loaded with the core action and wastes no words.

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?

Given the tool's complexity (billing, async provisioning, open-ended vs. capped duration) and lack of output schema, the description covers all essential aspects: return shape (rental_id/status), follow-up action, cost warning, and stopping mechanism. Nothing critical is missing.

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

Parameters5/5

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

Although the schema already documents all parameters, the description adds meaningful context: how 'hours' behaves relative to the default, that node_id comes from list_gpus, and that type only supports 'jupyter'. This enriches the agent's understanding.

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 opens with 'Start renting a GPU', which clearly identifies the action and resource. It distinguishes itself from sibling tools focused on listing, getting, or destroying rentals.

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

Usage Guidelines5/5

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

Provides explicit operational guidance: confirm with user, use open-ended by default, only pass 'hours' when user requests a limit, and call get_rental once instead of polling. This is exactly the kind of when/how guidance needed.

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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