confluence_test_connection
Validate connectivity to the Confluence API to confirm server availability and authentication.
Instructions
Test connection to Confluence API
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Validate connectivity to the Confluence API to confirm server availability and authentication.
Test connection to Confluence API
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits. It only states 'Test connection' without detailing outcomes (e.g., success/failure), side effects, or whether it reads or writes data. This leaves uncertainty about what the tool does beyond the label.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no extraneous information. Every word adds value, and the structure is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, no output schema, a basic test operation), the description provides sufficient context. It could mention return values or errors, but is adequate as a starting point.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters; schema description coverage is 100%. The description adds no parameter information as none is needed. Score reflects baseline for zero-parameter case.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it tests the connection to the Confluence API, using a specific verb and resource. It distinctly differentiates from sibling tools that perform other operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: use when you want to check connectivity. However, there is no explicit guidance on when to use this tool versus alternatives, nor any mention of prerequisites or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/anuragagrawal0430/atlassian-confluence-mcp-server'
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