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it_ops_feedback_to_code_loop

Runs a domain agent action that transforms operations feedback into code improvements. Provide an objective and optional structured inputs to trigger the feedback-to-code loop.

Instructions

Run the it_ops domain agent action feedback_to_code_loop.

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?

The description notes that the tool routes through a dispatcher with authentication context, but it does not disclose whether the action is destructive, what data it modifies, or what side effects occur. Since no annotations are provided, the description should compensate but it only gives minimal operational context.

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 with only three sentences, front-loading the action name and key operational context. It avoids redundancy but could still be slightly more informative without sacrificing brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and an output schema, the description covers the basic semantics. However, it lacks context about the purpose of the feedback loop, when to trigger it, and what insights it provides, leaving the agent with incomplete understanding.

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 meaning to both parameters beyond the schema: 'message' is described as a free-text objective, and 'inputs' as optional structured JSON. This is helpful given 0% schema coverage, but the description could be more specific about expected formats or constraints.

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 explicitly states that the tool runs the 'feedback_to_code_loop' domain agent action. The verb 'Run' and the specific action name provide a clear purpose. However, it does not differentiate from the sibling tool 'it_ops_feedback_to_sdlc', which likely has a similar role.

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 mentions routing through the domain-agent dispatcher under JWT/tenant scope, but provides no guidance on when to use this tool versus alternatives like 'it_ops_feedback_to_sdlc' or other it_ops actions. No explicit exclusions or context for decision-making.

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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