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bug_create

Create structured bug reports to track issues through states. Capture symptoms, expected behavior, and actual results to support resolution.

Instructions

Create a bug memory. State machine: open→confirmed→fixed→verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsYes
titleYes
actualNo
detailsNo
projectNo
symptomYes
expectedNo
severityYes
statementYes
reproductionNo
suspected_causeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the state machine (open→confirmed→fixed→verified) but does not mention whether creation is destructive, what is returned, or any side effects. This is minimal behavioral disclosure for a creation tool.

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

Conciseness5/5

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

The description is a single sentence plus a state machine, front-loading the core purpose with zero wasted words. It is extremely concise and well-structured.

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?

For a tool with 11 parameters, 5 required, and no annotations, the description is inadequate. It does not explain how parameters relate to the state machine, what the expected outcome is, or how to handle optional fields. Even with an output schema, the description leaves too much unspecified.

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

Parameters1/5

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

Schema description coverage is 0% and the description mentions none of the 11 parameters. The schema itself has clear names (title, symptom, severity, etc.), but the description adds no semantic context, leaving the agent to infer everything from the schema alone.

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

Purpose5/5

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

The description clearly states the verb 'Create' and the resource 'bug memory', and the state machine adds specific context. It distinguishes from sibling tools like gotcha_create and rejected_idea_create by targeting bugs.

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 explicit guidance on when to use this tool versus alternatives. The name and state machine imply bug tracking, but there is no mention of use cases, exclusions, or preferred scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.