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Plone MCP Server

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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
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It indicates a read operation ('Fetches') and no side effects are implied. The behavior is simple and adequately transparent for this tool.

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 brief: two sentences and an example. It is front-loaded with the core purpose and provides a concrete example, all without extraneous words.

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?

No output schema is provided, and the description does not mention the return format. For a simple fetch, this might be acceptable, but completeness is slightly lacking given the absence of return value information.

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?

Schema coverage is 100% with descriptions for all parameters. The description adds value by providing an example that demonstrates the usage of the required 'vocabulary' parameter. However, the filter parameters 'title' and 'token' are not further explained.

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, with an example using a vocabulary name. It distinguishes itself from sibling tools, none of which fetch vocabulary values.

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 explains it is useful for finding valid inputs for content fields, providing clear context for when to use it. However, it does not explicitly state when not to use it or mention alternatives among siblings.

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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