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coding_generate_tickets

Destructive

Generate coding tickets from a free-text message or structured JSON inputs, dispatching the request through the Lightbulb domain-agent platform.

Instructions

Run the coding domain agent action generate_tickets.

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

C2.1/5.0
Behavior2/5

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

The annotations mark it as destructive and non-idempotent, but the description only says it routes through a dispatcher; it does not disclose side effects, whether tickets are created/updated/deleted, or whether approval/confirmation is needed. The description adds little beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with no redundant prose beyond the name echo. However, the first sentence largely repeats the tool name, reducing the informative value per sentence.

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?

With no explanation of outputs, return shape, errors, or prerequisites, the description is incomplete for a tool that appears to create tickets through a dispatcher. The minimal text leaves an agent uncertain about what to expect after invocation.

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?

Both parameters are present in the schema with types and defaults, so schema coverage is high. The description only restates the schema ('free-text objective' and 'optional JSON string') without adding meaning, so it meets the baseline but adds no clarification about expected content or format.

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 says it runs a 'generate_tickets' action in the coding domain, but never explains what generating tickets entails, what tickets represent, or what the action produces. It is distinguishable from coding_chat/read/write/search only by name, not by a clear purpose statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus any sibling tools. It does not mention whether it should be preferred for creating tickets, whether it is for a specific workflow, or when the free-text message approach is appropriate.

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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