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get_pipeline_status

Check automated medical document processing status: view scheduled jobs, stage counts, and sync history for cancer patient records.

Instructions

Get pipeline operations status: scheduled jobs, stage counts, and sync history.

Shows which automated processes run, their schedule, last results, and how many documents are at each pipeline stage (OCR → AI → metadata → sync → rename).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes what information the tool returns (scheduled jobs, stage counts, sync history, process schedules, last results, document stage breakdowns). However, it doesn't mention performance characteristics, data freshness, authentication requirements, or error conditions that would be important for a monitoring tool.

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?

The description is efficiently structured with two sentences that pack substantial information. The first sentence establishes the core function, while the second elaborates with specific examples. There's no wasted verbiage, though it could be slightly more front-loaded by moving the pipeline stage details to a separate sentence for better scannability.

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?

Given the tool has zero parameters, an output schema exists, and no annotations, the description provides good coverage of what the tool returns. It explains the types of status information available and breaks down the pipeline stages. However, it doesn't mention the format or structure of the returned data, which the output schema presumably covers, making this reasonably complete.

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?

The tool has zero parameters with 100% schema description coverage, so the baseline is 4. The description appropriately doesn't waste space discussing non-existent parameters and focuses instead on what the tool returns, which is correct for a parameter-less status query tool.

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 clearly states the tool's purpose with specific verbs ('Get', 'Shows') and resources ('pipeline operations status', 'automated processes', 'documents at each pipeline stage'). It distinguishes itself from siblings by focusing on pipeline monitoring rather than document manipulation, authentication, or data analysis tools.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives is provided. While the description implies usage for monitoring pipeline operations, it doesn't specify prerequisites, timing considerations, or contrast with related tools like 'gdrive_sync_status' or 'system_health' that might provide overlapping information.

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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