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EMT Compute

emt_rent

Start a PAID GPU rental. Requires explicit spending authorization, fresh quote, rent scope, credit and accepted terms. Store payload and key before requesting.

Input Schema

NameRequiredDescriptionDefault
sshNo
nameYes
portsNo
quoteYes
volumeNo
backupsNo
jupyterNo
templateYes
idempotency_keyYes
confirm_paid_rentalYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already establish this is a non-read-only, open-world, non-destructive mutation. The description adds value beyond them: it is a money-spending operation requiring authorization and credit, and it warns that payload and key must be stored before requesting — implying credentials are returned once and the call is not safely repeatable. Return shape and failure/charge semantics remain unstated.

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 operation and its gating requirements. It is dense but slightly cryptic — 'store payload and key' never says what payload, costing a small amount of clarity for its brevity.

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

Completeness2/5

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

For a 10-parameter, paid, irreversible-flavored provisioning call with no output schema and no parameter documentation, the definition is under-specified: it omits how name/template/ssh/ports/backups/volume map to a rental and says nothing about what comes back or how charges accrue.

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% across 10 parameters, so the description must carry the load. It only gestures at three of them (quote via 'fresh quote', idempotency_key via 'key', confirm_paid_rental via 'spending authorization'), leaving ssh, ports, volume, backups, jupyter, name, and template with no meaning anywhere in the definition.

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 verb and resource: 'Start a PAID GPU rental'. This is clear and distinct from sibling emt_rent_cluster only by implication (GPU vs cluster); the description never explicitly contrasts the two, so an agent must infer the split from names.

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

Usage Guidelines4/5

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

Lists concrete preconditions for invoking it: explicit spending authorization, a fresh quote, rent scope, credit, and accepted terms. This is real context that gates use, but it gives no explicit when-not-to-use guidance or named alternative (e.g., emt_rent_cluster or emt_quote for obtaining the quote first).

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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