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it_ops_service_desk

Destructive

Resolve IT operations service desk requests by sending free-text objectives and optional structured inputs through the Lightbulb domain-agent dispatcher under your tenant and company scope.

Instructions

Run the it_ops domain agent action service_desk.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds useful auth/scoping context by saying the action routes through the domain-agent dispatcher under JWT, tenant, and company scope. It does not contradict the annotations, and the destructiveHint is already provided structurally, though the description could still clarify what side effects the service_desk action may have.

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 front-loaded with the primary action, followed by routing context and a clear Args section. It is efficient, though the first sentence adds little beyond the tool name.

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 remains incomplete for a generic domain-agent action: it omits the domain behavior, expected input structure, and usage conditions. An agent would be guessing what service_desk is supposed to accomplish and how to phrase the message correctly.

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 input schema has zero description coverage, so the description must carry the parameter semantics. It does briefly explain message as a free-text objective and inputs as an optional JSON string, but it gives no domain-specific detail about what those structured inputs should contain or what message phrasing is expected.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description essentially restates the tool name as 'Run the it_ops domain agent action service_desk' and adds routing mechanics, but it never says what the service_desk action actually does. An agent cannot tell whether this is a help-desk ticket lookup, an incident creation flow, or something else.

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 given for when to use this tool versus alternatives such as it_ops_chat, it_ops_incident_response, dispatch_domain_agent, or other it_ops domain actions. The only context is routing under JWT, tenant, and company scope, which does not help an agent choose this tool.

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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