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engineering_chat

Send a message to the engineering domain agent to execute actions. Provide an objective and optional structured inputs for task execution.

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
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 of disclosing behavioral traits. It mentions authentication and scoping (JWT, tenant, company), but does not indicate whether the tool is read-only, modifies data, or what the output format looks like. This leaves significant ambiguity for the agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences plus a clear args list. Every sentence is necessary, no fluff, and the main purpose is front-loaded. Ideal structure for quick parsing.

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 provides insufficient context about the engineering domain's scope (e.g., what types of engineering tasks it handles) and lacks any prerequisites or examples. An agent would struggle to decide when to invoke this tool over similar chat tools.

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 explain parameters. It adds meaning by describing 'message' as a free-text objective and 'inputs' as an optional JSON string, but lacks examples or constraints that would help the agent construct valid inputs. Barely adequate.

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 that the tool runs the engineering domain agent action 'chat', specifying the verb and resource. However, it does not differentiate from many sibling chat tools across other domains, leaving the agent unsure what distinguishes engineering_chat from coding_chat or commerce_chat.

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 alternatives. The description only gives operational details about routing through the domain-agent dispatcher, without any cues for appropriate use cases 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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