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content_generate_variants

Destructive

Generate content variants by providing an objective message and optional structured inputs, which the content domain agent uses to produce multiple variations.

Instructions

Run the content domain agent action generate_variants.

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

C2.7/5.0
Behavior3/5

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

The description adds some useful execution context: it routes through the platform's domain-agent dispatcher under JWT, tenant, and company scope. However, it does not explain the destructive side effect implied by destructiveHint=true or what mutation may occur, leaving the actual behavioral consequences unclear.

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 tight, front-loaded, and free of unnecessary prose: one action sentence, one routing sentence, then two argument lines. It is concise, though the argument descriptions are too generic to be fully informative.

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?

Even with an output schema present, the description omits what the action actually does, when to use it, and what structured inputs should contain. It is a routing shell around a domain action, not a complete specification for correct invocation.

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 carry parameter documentation. It only says `message` is a free-text objective and `inputs` is an optional JSON string of structured inputs, with no expected keys or format. An agent still does not know how to construct a valid `inputs` value.

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 names a specific action (`generate_variants`) in the content domain, so it is not a pure tautology. However, it never explains what 'variants' are, what the action produces, or how it differs from sibling tools like content_generate_content or content_refine.

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 given about when to use this tool versus alternatives. The only contextual statement describes routing through the domain-agent dispatcher and authentication scope, which is not a usage condition. An agent would have to infer selection from the tool name alone.

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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