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it_ops_software_engineering_loop

Directs an IT operations domain agent to execute a software engineering loop based on a free-text objective and optional structured inputs.

Instructions

Run the it_ops domain agent action 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 present, so the description must cover behavioral traits. It mentions authentication and routing but not side effects, safety, or what happens when the action is executed (e.g., reads/writes, destructive potential). Very limited behavioral disclosure.

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 well-structured with an Args section. No fluff or extraneous sentences. However, it could include more useful information without sacrificing conciseness.

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?

The tool likely performs a complex software engineering loop, but the description does not explain its purpose, output, or expected behavior. Output schema exists but is not described. The description fails to provide a complete picture for safe and effective use.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It identifies message as free-text objective and inputs as optional JSON string, but does not add meaningful constraints, format expectations, or examples. Only minimal context beyond schema titles.

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 the tool runs a specific domain agent action (software_engineering_loop), but does not explain what the loop does or how it differs from siblings like it_ops_autocompany_software_engineering_loop or other software engineering tools. The purpose is clear at a high level but lacks specificity.

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 alternatives. The description only mentions routing through a dispatcher and authentication scope, with no when-to-use or when-not-to-use context. Among many sibling tools, no differentiation is provided.

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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