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get_job

Read-onlyIdempotent

One job with its status, totals, next execution time and every item (scheduled time, result or error). Use to report progress or to see why an item failed; for an overview of all jobs use list_jobs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob id, as returned by create_job or list_jobs.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
itemsNo
labelNo
actionNo
sourceNo
statusNo
totalsNo
windowNo
resume_atNo
account_idNo
created_atNo
started_atNo
completed_atNo
next_item_atNo
pause_reasonNoquota_reached | account_disconnected | billing | manual

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that by describing the returned content shape (per-item scheduled time, result or error) and the diagnostic intent of the call. It does not mention pagination or behavior for a non-existent job_id, which keeps it short of a 5.

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?

Two sentences with zero waste: the first front-loads what you get, the second routes the agent to the right tool for the contrasting case. Every clause earns its place.

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?

For a single-parameter read tool with full annotation coverage and an output schema that carries the return shape, the description is complete enough to call correctly. It briefly reinforces the return content without needing to restate the output schema.

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

Parameters3/5

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

Schema coverage is 100% and the single job_id parameter is already documented in the schema as coming from create_job or list_jobs. The description adds no format, range, or resolution detail beyond that, so the baseline 3 applies since the schema does the heavy lifting.

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?

States a specific verb+resource ('One job') and enumerates exactly what it returns: status, totals, next execution time, and every item with scheduled time, result or error. It explicitly distinguishes itself from the sibling list_jobs, so an agent can select it without opening either schema.

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?

Gives explicit when-to-use conditions ('to report progress or to see why an item failed') and names the alternative for the contrasting case ('for an overview of all jobs use list_jobs'). Nothing is left to inference.

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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