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Plone MCP Server

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by plone

Get Vocabulary Values

plone_get_vocabularies

Fetch allowed values for a field, like categories or tags, to ensure valid content input.

Instructions

Fetches the allowed values for a specific field, such as a list of categories or tags. Useful for finding valid inputs for content fields. Example: plone_get_vocabularies({vocabulary: 'plone.app.vocabularies.Keywords'})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vocabularyYesVocabulary name
titleNoFilter by title
tokenNoFilter by token

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4/5.0
Behavior3/5

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

The description indicates a read operation (fetch) with no side effects. No annotations are provided, so the description carries the burden. It does not disclose auth requirements or rate limits, but for this tool it is adequate.

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 concise, with two sentences and an example. No redundant information, front-loaded with purpose.

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 the tool's simplicity and full schema coverage, the description is complete. It does not describe return format, but that is not critical for this tool's usage.

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%, so the schema describes all parameters. The description adds an example usage, but does not add significant new 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 it fetches allowed values for a specific field, using specific verb 'Fetches' and resource 'vocabulary values'. It distinguishes from sibling tools which focus on content operations.

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

Usage Guidelines4/5

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

The description provides clear context: 'Useful for finding valid inputs for content fields'. It does not explicitly mention when not to use or alternatives, but the context is sufficient.

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