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confluence_search_generic_content

Search for databases, whiteboards, folders, or embeds in Confluence. Supports pagination with cursors and optional full response.

Instructions

Search for generic content types: databases, whiteboards, folders, or embeds. NOT for pages or blog posts — use confluence_cql_search or confluence_search_content for those. Results are paginated — use the returned cursor to fetch more pages if needed. Output is trimmed by default (drops _links, _expandable, body content, etc.); pass full=true to receive the raw Confluence response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullNoIf true, bypass response trimming and return the raw Confluence API response.
typeYesThe type of generic content to search for. Must be one of: DATABASES, WHITEBOARDS, FOLDERS, EMBEDS
limitNoMaximum number of results (default 25, max 250)
titleNoFilter by title (partial match)
cursorNoCursor for pagination (from previous response)
spaceKeyNoFilter by space *key* (e.g. 'ENG'), not the numeric space id. CQL's `space=` operator works on keys.
Behavior4/5

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

With no annotations, the description carries the burden. It explains pagination via cursor, response trimming by default, and the 'full' parameter for raw output. Does not explicitly state read-only nature, but search implies it.

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?

Three sentences, front-loaded with purpose and exclusions, no unnecessary words. Every sentence adds value.

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?

Covers pagination, trimming, and parameters. No output schema, but describes response behavior. Could mention typical response fields, but sufficient for a list-search tool.

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% but the description adds crucial information about pagination (cursor usage) and response trimming, which are not present in schema descriptions.

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?

Clearly states the tool searches for generic content types (databases, whiteboards, folders, embeds) and explicitly excludes pages/blog posts, distinguishing it from sibling tools.

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?

Explicitly directs users to 'confluence_cql_search' or 'confluence_search_content' for pages/blog posts, providing clear alternatives. However, it does not elaborate on when to choose this tool over other search options for generic content.

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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