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ldco

Puppet Master MCP Server

by ldco

pm_knowledge

Retrieve documentation from the Puppet Master framework knowledge base covering CSS, components, composables, database, API, config, RTL, and rules.

Instructions

Load the Puppet Master framework knowledge base. Returns CSS system, component architecture, composables, database schema, API patterns, config system, and RTL reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoTopic to load: css, components, composables, database, api, config, rtl, rules, or all
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It mentions the return content but omits side effects, restrictions, or performance characteristics. The tool is likely read-only, but this is not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the verb and resource. It efficiently lists the topics without verbosity.

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?

The description is adequate for a simple tool with one parameter and no output schema. It explains the basic behavior and available topics, but lacks details about the return format or structure of the knowledge base content.

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 description coverage is 100% with the topic parameter fully documented. The tool description adds a redundant list of topics but provides minimal extra meaning beyond the enum values. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Load the Puppet Master knowledge base' and lists the specific topics returned. However, it does not explicitly differentiate from sibling tools like pm_knowledge_contributing or pm_knowledge_entrypoint, which may have overlapping functionality.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. It does not mention prerequisites, when-not to use, or describe context for invocation.

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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