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solver_chat

Send a free-text objective to the solver domain agent and optionally provide structured JSON inputs to execute a chat action under your authenticated tenant scope.

Instructions

Run the solver 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 must disclose behaviors. It mentions routing under JWT/tenant/company scope but does not describe side effects, state changes, rate limits, or what the chat action actually does beyond being an action.

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?

Description is short (three sentences) and front-loaded with purpose. No fluff, though it could benefit from clearer separation between purpose and parameter docs.

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 existence of an output schema and many sibling tools (including other domain chats and solver-specific tools), the description is incomplete. It does not describe return values or differentiate from alternatives, leaving gaps for an AI agent.

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 description adds value by explaining 'message' as a free-text objective and 'inputs' as optional JSON. However, explanations are terse and could be more specific about the expected structure of inputs.

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 it runs a solver domain agent action 'chat', but does not specify what the solver domain does or what type of chat this is. It mentions routing details but lacks a clear purpose relative to other domain chats.

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 solver_chat versus other domain chats (e.g., finance_chat) or other solver tools (e.g., solver_solve_optimization). The agent is left to infer context from the name only.

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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