Skip to main content
Glama

confluence_search

Search Confluence content using CQL queries to filter and find pages and specific information.

Instructions

Searches Confluence content using CQL (Confluence Query Language). Example: title ~ "meeting" AND label = "notes"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cqlYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the entire burden. It implies a search operation but does not disclose behavioral traits like return format (though output schema exists), pagination, or any restrictions. It is minimally adequate but lacks explicit behavioral context.

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 extremely concise with only two lines, front-loading the purpose and including a helpful example. Every word adds value, and there is no superfluous text.

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?

Despite having an output schema, the description omits key contextual details: what is returned (e.g., list of pages with snippets), how to use CQL effectively, and the default/max limit. For a search tool of moderate complexity, it is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It provides an example for 'cql' but does not explain the syntax beyond the example, and 'limit' is not mentioned at all. This leaves significant gaps for a tool with only two parameters.

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 the tool's action ('Searches Confluence content using CQL') and provides an example. It effectively distinguishes from sibling tools like list_confluence_pages, making its purpose unambiguous.

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?

The description does not provide guidance on when to use this tool versus alternatives. No contextual cues for when a user should prefer this search over list_confluence_pages or other tools.

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/tingyiy/atlassian-mcp-server'

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