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content_chat

Destructive

Chat with the content domain agent to complete content tasks. Send a free-text objective and optional structured inputs to trigger the appropriate action.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior3/5

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

The description adds a useful routing/context detail — execution through the domain-agent dispatcher under JWT, tenant, and company scope. It does not contradict the annotations, and annotations already signal destructive/open-world behavior. Still, the description itself is silent about potential side effects, which matters given destructiveHint=true.

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 compact, front-loaded with the core verb/resource, and uses a clean Args structure. Each sentence adds information without fluff. It is terse to the point of vagueness, but as a structure-and-concision matter it is well organized.

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 and annotations, the description leaves major gaps: no when-to-use guidance, no description of what the chat action accomplishes, and no examples. For a broad open-world chat tool among hundreds of siblings, this is insufficient for confident selection and invocation.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It provides basic definitions for message ('free-text objective') and inputs ('optional JSON string of structured inputs'), which is more than the schema gives. However, it omits format expectations, examples, or how inputs relate to the specific content action, so it only partially compensates.

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 states a specific action — run the content domain agent action `chat` — and identifies the resource. However, it never explains what 'chat' actually does or what kind of objective it fulfills, so an agent gets little functional meaning beyond the name. It distinguishes the tool by domain label but not by behavior.

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 no guidance on when to prefer this tool over the many content_* siblings or the other domain chat tools. The only contextual statement is routing-related ('domain-agent dispatcher under your JWT, tenant, and company scope'), which says nothing about selection criteria, exclusions, or alternatives.

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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