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Michael2150

flamerobin-mcp-server

list_triggers

List all user-defined triggers in a Firebird database, formatted as trigger name with associated table. Filter by regex or limit the number of results.

Instructions

List all user-defined triggers, formatted as 'TRIGGER_NAME (on TABLE_NAME)'. To retrieve a trigger body, pass just the name (without the ' (on TABLE)' suffix) to get_trigger_source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase key from list_databases.
filterNoOptional case-insensitive .NET regex on the full 'TRIGGER_NAME (on TABLE)' string. Example: 'on INVOICES' to see triggers on a specific table.
limitNoMaximum number of results to return. Omit for all.
Behavior2/5

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

No annotations are provided, so the description should disclose behavioral traits like read-only, destructive potential, authorization needs, or performance implications. However, it only mentions the output format and sibling usage, leaving behavioral aspects completely undocumented.

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?

Two sentences, front-loaded with the main purpose, no redundant information. Every sentence provides essential guidance.

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

Completeness3/5

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

For a simple list tool with 100% schema coverage and no output schema, the description covers the output format and sibling tool usage. However, it lacks information on ordering, pagination details beyond limit, error conditions, and safety behavior. It is minimally viable but not comprehensive.

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

Parameters4/5

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

With 100% schema coverage, the schema already documents all 3 parameters. The description adds value by explaining the output format for filter usage and providing an example regex, which clarifies parameter semantics beyond the schema.

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 'List all user-defined triggers', specifying the verb and resource. It distinguishes from the sibling tool get_trigger_source by explaining how to retrieve trigger bodies, making the purpose unambiguous.

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

Usage Guidelines5/5

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

The description explicitly tells when to use this tool (listing triggers) and when to use an alternative (get_trigger_source for the trigger body), providing clear context and exclusions.

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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