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content_chat

Send a free-text objective to the content domain agent and receive an action response. Optionally attach structured inputs as JSON.

Instructions

Run the content domain agent action chat.

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, the description carries the full burden. It mentions routing under JWT/tenant/company scope but does not disclose side effects (e.g., whether the chat can modify data), rate limits, or destruction behavior. The agent cannot assess safety or impacts.

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 (two sentences plus an Arg list) and front-loaded with the core action. Every sentence serves a purpose, though slightly more structure (e.g., separating routing from usage) could improve readability.

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 tool's complexity (chat with a domain agent) and the presence of an output schema, the description should explain what the content domain can do via chat and how to phrase objectives. It fails to provide this context, leaving the agent unsure of the tool's capabilities and boundaries.

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?

The description adds basic meaning over the schema (which has 0% coverage) by explaining 'message' as a free-text objective and 'inputs' as an optional JSON. However, it lacks details on JSON structure or expected values, which is minimal compensation for the absent schema descriptions.

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 runs the content domain agent action 'chat', distinguishing it from other domain-specific chat tools (e.g., coding_chat, commerce_chat). However, it does not elaborate on what 'chat' entails (e.g., open-ended conversation vs. task execution), slightly reducing clarity.

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 alternative content tools like content_generate_content or content_analyze_results. The description does not mention exclusions or preferred use cases, leaving the agent without decision-making context.

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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