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Michael2150

flamerobin-mcp-server

list_generators

Retrieve all user-defined generators and their current values from a Firebird database. Optionally filter by generator name using case-insensitive regex.

Instructions

List all user-defined generators (sequences / auto-increment counters) with their current values. database: key from list_databases. filter: optional case-insensitive regex on generator name. Returns [{name, value}].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYes
filterNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It specifies the operation as read-only listing and describes the output format. However, it does not mention potential side effects, required permissions, or pagination behavior.

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 two sentences long, with the first stating purpose and the second explaining parameters. No redundant or tangential information. Front-loaded with the core action.

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?

Given no output schema, the description states the return format as [{name, value}]. All parameters are documented. However, it lacks details on error conditions or handling of large lists, but for a simple listing tool it is mostly complete.

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?

The input schema has 0% description coverage, but the description explains both parameters: 'database' as a key from list_databases and 'filter' as an optional case-insensitive regex. This adds useful context beyond the schema structure.

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 'list' and the resource 'generators', with parenthetical clarification 'sequences / auto-increment counters'. It distinguishes from sibling list tools by specifying the exact resource type.

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

Usage Guidelines3/5

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

The description implies usage for listing generators, but does not explicitly state when to use this tool versus alternatives like list_objects or list_databases. No 'when not to use' guidance is provided.

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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