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Check a background job

get_job
Read-only

Status, progress, and result for a background job. Free. Available to any credential — if you can start a job, you can always poll it.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "jobId": "<jobId>"
    },
    "name": "get_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
jobIdYesjobId returned by an async tool.
formatNoRendering of the human-readable text channel. "prose" (default) is a compact summary an agent can reason over; "json" repeats the data verbatim; "report" is a formatted Markdown report to show a person; "html" is a standalone HTML document for saving, printing or PDF. Machine-readable structuredContent is always included either way.

Output Schema

NameRequiredDescriptionDefault
dataYes
apiVersionYes
disclaimerYes
balanceNoticeNo
suggestedNextNo
criminalCaveatNo
notConsumerReportYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior: zero cost ('Free') and universal credential eligibility ('if you can start a job, you can always poll it') — a useful auth guarantee. It omits job lifecycle behavior an agent needs, such as terminal states and whether/completed jobs expire.

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 short sentences, front-loaded with what is returned, then the cost and credential facts. No filler, no restatement of the tool name.

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?

With a full output schema, return-value detail is unnecessary, and the description covers cost and access. What is still missing is lifecycle context — whether jobs expire, what statuses can occur, and whether polling repeatedly is expected — which matters for a polling tool.

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% and the format parameter's enum is fully documented in the schema, so the baseline would be 3. The description contributes the framing that status, progress, and result are all returned together regardless of rendering choice, which reinforces that the text channel is a presentation option rather than a data filter.

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 names a specific resource (a background job) and the exact payload returned (status, progress, and result), which is enough for an agent to distinguish it from every listed sibling, all of which are lookup/intelligence/export tools.

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

Usage Guidelines3/5

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

Usage is only implied: the tool is for polling a job, reinforced by the schema note that jobId comes 'from an async tool.' There is no explicit when-to-use statement, no mention of polling cadence or when to stop polling, and no named alternative or exclusion.

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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