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run_workflow

Run a document and video discovery workflow using a query. Retrieves and combines results from multiple sources including Supabase, web search, and YouTube.

Instructions

Execute the document + video discovery LangGraph workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
video_limitNo
document_limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
traceNo
videosYes
documentsYes
video_countYes
search_termsYes
document_countYes
Behavior2/5

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

No annotations are present, and the description fails to disclose any behavioral traits such as side effects, resource usage, or whether the workflow is synchronous. This is a significant gap for a workflow execution 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 a single concise sentence with no superfluous words, but it sacrifices important details. It earns its place but could be expanded slightly without losing conciseness.

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

Completeness2/5

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

Despite having an output schema, the description is too brief for a workflow tool that likely has complex behavior. It does not explain what the workflow does beyond the name, nor how parameters affect execution.

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

Parameters1/5

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

The input schema has 0% description coverage and the description does not explain the meaning or constraints of any parameter (query, video_limit, document_limit). This leaves the agent without crucial information.

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 it executes a discovery workflow involving documents and videos, which distinguishes it from sibling tools that are individual components (health_check, search_youtube, find_documents). However, 'LangGraph' is jargon and could be clarified.

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 guidance is provided on when to use this tool versus calling the sibling tools directly, nor are there any prerequisites or conditions mentioned.

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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