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job_status

Check a background job's state (running, done, failed). List all session jobs or cancel a running job.

Instructions

State of a background job: running with progress, done with its result, failed with the error. Long tools (fit_to_reference, match_camera, bake_maps) return a job id when they run longer than their wait seconds. Without job it lists all jobs of this Blender session. cancel=true stops the job; the scene keeps the changes the job already made: use rollback to undo them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobNo
cancelNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that cancel stops the job while the scene retains the changes the job already made, and routes the user to rollback for undo. It omits the exact return format/progress shape and any indication of whether polling is required, which keeps it out of the top band.

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?

Front-loads the tool's purpose and enumerates state outcomes compactly, then handles the job-id origin, the no-arg listing behavior, and cancellation/undo. Dense but each sentence carries information; no filler.

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 two-parameter, no-annotation, no-output-schema tool, the description covers purpose, both parameter behaviors, the lifecycle that produces job ids, and the cancel/rollback side effect. It is nearly complete, lacking only detail on the returned progress/result payload.

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 0% and parameters are bare (no descriptions), so the description must compensate. It does: `job` is defined by its absence (lists all session jobs) and `cancel=true` is defined as stopping the job. Both parameters gain meaning beyond the schema.

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 noun+behavior — reporting the state of a background job — and enumerates the possible outcomes (running/progress, done/result, failed/error). An agent can tell what it returns. It does not, however, differentiate itself from the sibling `status` tool, which is the one thing that could confuse selection.

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?

Explains the trigger condition: long tools that exceed their `wait` seconds return a job id, which you then poll here; omitting `job` lists all session jobs. It names the alternative `rollback` for undoing a canceled job's changes. No explicit when-not-to-use, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.