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content_generate_content

Generate content using the platform's domain agent by providing a free-text objective and optional structured inputs. Routes requests through your JWT, tenant, and company scope.

Instructions

Run the content domain agent action generate_content.

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 carries full burden for behavioral disclosure. It does not specify whether the tool is read-only or mutates state, what side effects occur, or what happens after generation. The term 'generate' implies creation, but more clarity is needed.

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 brief (three sentences plus arg list) and to the point. Some routing details could be considered noise, but overall it does not waste words.

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 does not inform the user about expected output, error conditions, or detailed usage patterns. For a tool with 0% parameter description coverage and no annotations, more completeness is required.

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%, so the description must compensate. It only labels 'message' as 'Free-text objective' and 'inputs' as 'Optional JSON string', lacking examples, format constraints, or any detail beyond the parameter names themselves.

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 the verb 'Run' and identifies the resource 'generate_content' action. However, compared to many sibling content tools (e.g., content_generate_plan, content_generate_variants), it lacks specificity about what type of content is generated, making it harder to distinguish.

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 provides routing context but gives no guidance on when to use this tool versus alternatives like other content generation tools. There is no mention of prerequisites, when not to use, or explicit usage scenarios.

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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