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pavelpikta

lampa-mcp-server

Guide to publishing plugins into the real Lampa plugin catalog

guide_plugin_catalog
Read-onlyIdempotent

Consult fixed reference docs to package and publish Lampa plugins: manifest schema, obfuscation presets, Cloudflare routing, Functions API, and publishing checklist.

Instructions

Document how the separate lampa-plugins repository turns plugin source files into the live catalog agents install into Lampa: the extension.json/plugin-manifest.json schema, the obfuscation presets, Cloudflare Pages Functions routing, and a step-by-step publishing checklist. Curated from that repo's scripts/ and functions/, not from the Lampa app source — unlike validate_code (lints one plugin's code against Lampa conventions) and scaffold_plugin (emits new-plugin boilerplate text), this tool covers packaging and distribution once the plugin already works.\nEach topic takes no other parameters and returns a fixed reference document — it does not read this repo's snapshot and never writes files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesmanifest=extension.json/plugin-manifest.json schema; obfuscation=javascript-obfuscator presets; routing=Cloudflare Pages _routes.json/_headers; functions_api=the three Pages Functions endpoints; publishing_checklist=ordered steps to ship a new plugin.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownYesHuman-readable markdown report. Always present, including empty-result cases. Does not write files.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.9.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds meaningful behavioral context: it returns a fixed reference document, does not read this repo's snapshot, and never writes files. It also discloses that content is curated from the lampa-plugins repo rather than the Lampa app source, which is not inferable from annotations.

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 dense sentences, front-loaded with the core purpose, then source provenance, sibling differentiation, and side-effect clarification. Every sentence earns its place with no filler or redundant restatement.

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

Completeness5/5

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

Given the small parameter surface, full schema coverage, and provided annotations, the description is complete: it explains scope, source, behavior, constraints, and sibling boundaries. An agent can confidently decide to invoke this tool and with which topic.

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?

The schema covers the single topic parameter fully (100%) with an enum and per-value descriptions, so the baseline is 3. The description reinforces that each topic returns a fixed reference document but does not add deeper meaning beyond what the schema already provides.

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 states a specific action ('Document how the separate lampa-plugins repository turns plugin source files into the live catalog'), names the covered topics, and explicitly contrasts itself with validate_code and scaffold_plugin. This makes the tool's purpose unmistakable and differentiates it from siblings.

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?

It explicitly says this tool covers packaging and distribution 'once the plugin already works' and names the sibling tools it is not (validate_code, scaffold_plugin). This gives clear when-to-use and when-not-to-use guidance, with alternatives called out.

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