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calebn
by calebn

pipeline_get_config_tool

Retrieve a podcast project's effective pipeline configuration, step metadata, and parameter schema to validate or inspect setup.

Instructions

Return effective pipeline config, step metadata, and param schema (same as GUI).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the burden of behavioral disclosure. 'Return' implies a read-only operation, and the description lists what is returned, but it does not explicitly state side-effect-freedom, whether the config is freshly computed or cached, or what 'effective' means in terms of merging settings.

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 a single, focused sentence that front-loads the core action and result. Every word contributes meaning, and the parenthetical '(same as GUI)' provides useful orientation without bloat.

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 one-parameter getter, the description is nearly complete: it names the read operation, the returned data categories, and the GUI equivalence. An output schema exists to document return structure, and the tool is low-complexity, so the main missing pieces are usage boundaries and parameter format detail.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds no direct meaning to the only parameter, project_path. The parameter name is self-explanatory, but the description does not clarify expected format, required scope, or how the path relates to the pipeline configuration.

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 states a specific verb ('Return') and a clear resource ('effective pipeline config, step metadata, and param schema'). This clearly distinguishes it from sibling tools like pipeline_set_config_tool and pipeline_run, which mutate or execute rather than fetch.

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 is given about when to use this tool versus alternatives such as pipeline_set_config_tool or pipeline_analyze_tool. The implied use is obvious, but the description does not state exclusions, prerequisites, or context for choosing this getter.

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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