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pavelpikta

lampa-mcp-server

by pavelpikta

add_setting

Adds a new setting to Lampa's settings panel by generating the required boilerplate code for toggles, selects, or inputs, using a specified storage key, label, type, and optional default value or options.

Instructions

Generate the boilerplate to add a new setting to Lampa's settings panel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesStorage key for the setting, e.g. 'my_plugin_enabled'.
labelYesHuman-readable label shown in the UI.
typeYesSetting type.
default_valueNoDefault value.
optionsNoOptions for 'select' type.
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It mentions generating boilerplate but does not describe what is produced, side effects, or prerequisites, leaving gaps.

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 with no wasted words, well-structured for immediate understanding.

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 5 parameters, no output schema, and no annotations, the description is too brief. It lacks details about the generation output, constraints, and contextual prerequisites.

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?

Schema coverage is 100%, so the descriptions already document all parameters. The tool description adds no extra semantic value 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 the specific verb 'generate' and the resource 'boilerplate to add a new setting', distinguishing it from sibling tools like 'generate_plugin_boilerplate'.

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 context is clear (use when adding a setting), but there is no explicit guidance on when not to use it or alternatives, leaving the agent to infer.

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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