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PipelineFlow

PipelineFlow

by johannschiffer
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_node_output

Fetch cached execution output for a specific pipeline node using its pipeline ID and node ID to inspect results or debug workflows.

Instructions

Fetch cached execution output for a specific node in the pipeline.

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": {
      "pipeline_id": "<pipeline_id>",
      "node_id": "<node_id>"
    },
    "name": "get_node_output"
  }
}

Input Schema

NameRequiredDescriptionDefault
node_idYesTarget node ID.
pipeline_idYesTarget pipeline ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It does disclose the important trait that output is cached (implying staleness and possible unavailability if the node has not run), but it omits error behavior, whether output is truncated, and permission requirements.

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?

A single front-loaded sentence with no filler; the resource and scope are stated immediately and nothing can be trimmed without losing meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should ideally describe the returned output format and the failure case when no cached result exists. It covers purpose and the caching trait but leaves the return contract entirely unspecified.

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 description coverage is 100% for both required parameters (pipeline_id, node_id), so the schema already carries their meaning. The description adds nothing beyond what the schema states, making the baseline 3 correct.

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 verb (fetch) and a specific resource (cached execution output for a node), which is unambiguous. It does not explicitly differentiate itself from siblings like run_pipeline, though the 'cached' qualifier implicitly separates it from execution triggers.

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 statement of when to use this tool, no prerequisites (e.g. that the pipeline must have been run first to populate the cache), and no alternatives named among the six siblings. The 'cached' wording hints at a precondition but leaves it 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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