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magento_find_trigger

Find MySQL database trigger definitions in Magento Setup scripts to detect triggers created via TriggerFactory. Use when investigating DB-level automation, trigger chains, or performance issues caused by cascading triggers.

Instructions

Find MySQL database trigger definitions in Magento Setup scripts. Detects triggers created via TriggerFactory (setName, setTable, setEvent, setTime, addStatement, createTrigger). Returns trigger name, target table, event type (INSERT/UPDATE/DELETE), timing (BEFORE/AFTER), and SQL statements. Use when investigating DB-level automation, trigger chains, or performance issues caused by cascading triggers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableNameNoOptional table name to find triggers targeting this table.
triggerNameNoOptional trigger name or pattern to search for. If omitted, finds all triggers in the codebase.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that the tool detects triggers created via specific methods and returns relevant details. It suggests a read-only nature (detecting/finding) with no side effects mentioned. Could be more explicit about safety, but sufficient.

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 concise (3-4 sentences) and front-loaded with the main purpose. Every sentence adds information without redundancy. Structure is clear and scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a find tool with no output schema, the description adequately explains what it does, how it works, and what it returns. It could mention examples or error handling, but overall it is complete enough for an AI agent to decide whether to use it.

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

Parameters5/5

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

Schema coverage is 100% with descriptions for both optional parameters. The description adds value by explaining the purpose of each parameter and what the tool returns, complementing the schema effectively.

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 it finds MySQL database trigger definitions in Magento Setup scripts, specifically those created via TriggerFactory methods. It lists the returned fields (name, table, event, timing, SQL) and distinguishes itself from sibling tools by focusing on triggers.

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

Usage Guidelines4/5

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

Provides explicit usage context: 'Use when investigating DB-level automation, trigger chains, or performance issues caused by cascading triggers.' Does not explicitly mention when not to use or alternatives, but the context is clear.

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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