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engineering_chat

Destructive

Send a free-text message to run an engineering domain agent action, with optional structured inputs, routed under your tenant and company scope.

Instructions

Run the engineering 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

C2.9/5.0
Behavior2/5

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

Annotations mark destructiveHint=true and readOnlyHint=false, yet the description gives no warning that a chat action may trigger side effects. It does add useful scoping context (JWT, tenant, company) but does not disclose behavioral traits beyond that.

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 short and front-loads the core action, then adds routing context and parameter semantics. There is no filler, though the routing sentence could arguably be more compact.

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 when-to-use guidance, alternative differentiation, and any caution about the destructive/open-world potential flagged by annotations. For a generic agent chat, this is not enough to invoke confidently.

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 coverage is 0%, so the description carries the burden. It defines message as a free-text objective and inputs as an optional JSON string, which clarifies both parameters, but provides no examples or structure for inputs.

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 states a specific action ('Run the engineering domain agent action `chat`') and adds routing context (domain-agent dispatcher under JWT, tenant, company). It could differentiate more sharply from sibling chat tools like coding_chat or dispatch_domain_agent, but the engineering-domain scoping is clear.

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 on when to use this tool versus an engineering-specific action (engineering_create_spec, engineering_query_analytics) or the generic dispatch_domain_agent. The description explains mechanism but not selection criteria or exclusions.

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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