Skip to main content
Glama
kitconcept

Plone MCP Server

by kitconcept

Search Plone Content

plone_search

Search for content items with filters by query, content type, path, and workflow state, with pagination.

Instructions

Performs a detailed search for content items, allowing filters by text, content type, path, and workflow state. Example: plone_search({query: 'annual report', portal_type: ['Document'], review_state: ['published']})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoPath to search within
queryNoSearch query text
b_sizeNoBatch size (number of results per page)
b_startNoBatch start (for pagination)
sort_onNoField to sort by (e.g., 'modified', 'created', 'sortable_title')
sort_orderNoSort order
portal_typeNoContent types to search for
review_stateNoWorkflow states to filter by
Behavior2/5

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

With no annotations, description carries full burden but only mentions filters. Fails to disclose pagination (b_size, b_start), sorting behavior, or the fact that results are returned. Limited to 'detailed search' without specifying output or constraints.

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?

Single sentence plus example is concise and efficient. However, lacks front-loading of key information (purpose first, example later) but overall no wasted words.

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?

No output schema; description does not explain return values or pagination. Given 8 parameters and complex filtering, missing details on result structure, sorting, and batch handling leaves gaps for effective use.

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 covers 100% of parameters with descriptions. Example usage adds practical context (e.g., 'annual report', Document type, published state) beyond schema, aiding understanding of typical combinations.

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?

Description clearly states the tool performs a detailed search for content items and lists filters (text, content type, path, workflow state). This distinguishes it from sibling tools like plone_get_content (single item retrieval) and other non-search tools.

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 (e.g., when to use plone_search vs plone_get_content). Does not mention when not to use or provide context for selection among siblings.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kitconcept/plone-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server