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content_social_content_pipeline

Execute a social content pipeline by providing a free-text objective and optional structured inputs for automated processing.

Instructions

Run the content domain agent action social_content_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
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits but only mentions routing through a dispatcher. It fails to mention idempotency, side effects, failure modes, or security implications, which is critical for a pipeline action.

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 concise at five lines with an Arg list. It avoids fluff and gets to the point, though the structure could be improved with clearer sections. It is efficient overall.

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?

Given the complexity of a pipeline tool and the lack of annotations, the description omits essential context: what the pipeline does, what outputs to expect, and how it differs from other content tools. The existing output schema hints at return values but is not explained, making the description incomplete.

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?

Given 0% schema description coverage, the description adds some meaning: 'message' is a free-text objective and 'inputs' is an optional JSON string. However, it remains vague about the content of 'inputs' and the expected format, partially compensating but not fully.

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 that the tool runs a specific action 'social_content_pipeline' with a verb and resource. However, it does not differentiate this pipeline from other content-related tools in the sibling list, such as content_generate_content or content_schedule, leaving the agent unsure of its unique purpose.

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 lacks any when-to-use or when-not-to-use guidance. It provides no context on prerequisites, alternatives, or scenarios where this tool is appropriate, making it hard for an agent to decide when to invoke it over siblings.

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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