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it_ops_autocompany_software_engineering_loop

Execute autonomous software engineering tasks by providing a free-text objective and optional structured inputs under your company scope.

Instructions

Run the it_ops domain agent action autocompany_software_engineering_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?

No annotations are provided, so the description must bear the full burden. It notes routing through the domain-agent dispatcher with JWT/tenant/company scope, but does not disclose whether the tool is destructive, idempotent, or what side effects ('loop' implies iterative changes) occur.

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 minimal redundancy. It is front-loaded with the action name and clearly lists the arguments. The sentence about routing adds useful authentication context without being verbose.

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 (not shown), the description lacks completeness for a complex tool named 'loop'. It does not explain what the loop does, what outcomes to expect, or any behavioral details beyond routing. The 0% schema coverage makes this gap more significant.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description adds meaningful explanations for both parameters: message as 'free-text objective' and inputs as 'optional JSON string of structured inputs'. This compensates well for the lack of schema descriptions.

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 it runs the 'autocompany_software_engineering_loop' domain agent action, which distinguishes it from sibling tools like 'it_ops_software_engineering_loop'. However, it doesn't explain what the action accomplishes beyond running it.

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, such as other it_ops loops or domain-specific tools. The description gives no context for appropriate usage.

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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