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Glama

coding_run_pipeline

Destructive

Execute a coding pipeline by submitting a free-text objective and optional structured inputs to the Lightbulb Partners domain agent, which routes under your tenant and company scope.

Instructions

Run the coding domain agent action run_pipeline.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior2/5

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

Annotations indicate destructiveHint=true and openWorldHint=true, but the description does not disclose any potential side effects, destructive behavior, or external world impact. Since annotations already carry some signal, the lack of contradiction prevents a 1, but no behavioral detail is added.

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 short and front-loaded with the core action. It avoids fluff, though it spends a sentence on boilerplate routing context that adds little value.

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

Completeness1/5

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

Given the large sibling toolset and the generic nature of this wrapper, the description is far from complete. It does not explain what a pipeline run entails, what side effects to expect, what the output schema contains, or how to structure inputs.

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 coverage is 0% and the description only offers minimal paraphrases: 'message' is a free-text objective and 'inputs' is an optional JSON string of structured inputs. It does not explain what content should go into the message or inputs, nor how they affect the pipeline run.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Run') and names a specific resource ('coding domain agent action run_pipeline'), but does not explain what the pipeline actually does or how it differs from many sibling coding tools. It is identifiable but shallow.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus the extensive sibling tools, nor any conditions, prerequisites, or exclusions. The description is purely nominal.

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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