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Create a job (returns upload URL)

create_job

Step 1 of the two-step path for big decks: validates the spec, reserves a job id, returns a presigned upload_url. PUT the deck as a .tar.gz (<= 2 GB, relative paths, input at input) to upload_url, then call start_job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpuNoGPU class; call account for the offered classes and how jobs are priced. Default any = cheapest available
inputYesRelative path of the LAMMPS (or runner) input script inside the deck, e.g. in.lmp
labelNoFree text <= 120 chars shown in job lists
launchNoLaunch template; omit for the default KOKKOS/CUDA LAMMPS command line
runnerNoRunner flavour: lammps (default) or openmm (beta)
estimate_sNoYour runtime guess in seconds; only used for the balance pre-check (min 900 s at the rate)
wall_limit_sNoHard cap in seconds (default 14400, max 86400); the job fails at the cap and is billed to it

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / gpu / description
      Previous value: -"GPU class; call account for the currently offered classes and hourly rates. Default any = cheapest available"New value: +"GPU class; call account for the offered classes and how jobs are priced. Default any = cheapest available"
  2. Changed2 schema fields changed
    • changedInput schema / properties / gpu / description
      Previous value: -"GPU class: any (cheapest available, default), rtx4090, a100 -- see account.rate_table"New value: +"GPU class; call account for the currently offered classes and hourly rates. Default any = cheapest available"
    • changedInput schema / properties / runner / description
      Previous value: -"Runner flavour: lammps (default) or openmm"New value: +"Runner flavour: lammps (default) or openmm (beta)"
  3. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already cover read/write and destructiveness, and the description adds useful behavioral context: no compute starts yet, a job is reserved, the deck must be uploaded before start_job, and the deck must be a .tar.gz <= 2 GB. It does not discuss cleanup if the upload never happens, but that is a minor gap given the annotations.

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 two sentences, front-loads the step/context, and contains no filler. Every clause either defines the tool's output, imposes a constraint, or gives the next action.

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?

For a 7-parameter tool with no output schema, the description covers the workflow well and the schema documents all parameters. The main omission is explicit mention of the returned job id and its role in the start_job call; the phrase 'reserves a job id' implies it, but a more explicit handoff would make the sequence fully self-contained.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value beyond the schema by specifying the upload format and constraints (.tar.gz, <= 2 GB, relative paths, `input` at `input`), which clarifies how parameters like `input` are used in practice.

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 states a concrete action and resource: validate the spec, reserve a job id, and return a presigned upload_url. It also names the subsequent step (start_job), so the tool's role in the two-step big-deck flow is unmistakable and clearly distinguished from siblings.

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?

The description explicitly says this is 'Step 1 of the two-step path for big decks' and gives the exact sequence: PUT the deck to upload_url, then call start_job. It does not explicitly rule out alternative one-step flows like submit_job, but the workflow context is strong.

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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