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awictor

flow-agent-mcp

by awictor

task_status

Check the control-plane status of a single Flow task, including connected upstream/downstream status. Returns OK, WARNING, TASK_DISABLED, or error states to identify pipeline issues.

Instructions

Control-plane status for one task. Wraps flowctl catalog status <task> --output json. Status types include OK, WARNING, TASK_DISABLED, and error states.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesFull catalog name, e.g. 'acmeCo/production/source-postgres'
connectedNoInclude connected (upstream/downstream) task status
Behavior2/5

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

With no annotations, the description carries the full behavioral transparency burden. It mentions the wrapped CLI command and status types but does not explicitly state whether the operation is read-only, what error behaviors occur, or any permissions needed.

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-loaded with the core purpose, and efficiently includes the underlying command and status types without redundancy.

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 simple status-check tool, the description covers purpose, output format (JSON via CLI), and status types. However, with no output schema and no annotations, it lacks details on exact response structure or error handling, though it is largely adequate.

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?

The input schema already provides comprehensive descriptions for both parameters (task and connected) with an example, covering 100% of parameters. The description adds no additional parameter detail, so the baseline of 3 is appropriate.

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?

The description clearly states the tool provides control-plane status for one task, naming the resource and action. It distinguishes itself from list_tasks by focusing on a single task and from task_stats/task_logs via the status types, but does not explicitly mention sibling alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives like task_health, task_stats, or task_logs. It simply defines the function without giving usage context or exclusions.

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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