Get inline comments on a Confluence page
AI agents call getConfluencePageInlineComments to retrieve information from Atlassian Multi without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a straightforward read operation that retrieves comment data from Confluence pages. It has no capability to modify, delete, or execute actions. The blast radius if misused is minimal — an agent could retrieve comments it shouldn't have access to, but no data is altered, deleted, or executed. Therefore it is classified as Read with low severity.
From the tool's definition Tool name and description: 'Get inline comments on a Confluence page' — this retrieves/queries existing data (inline comments) with no modification or side effects.
Attacks that exploit this kind of access
Get inline comments on a Confluence page. It is categorised as a Read tool in the Atlassian Multi MCP Server, which means it retrieves data without modifying state.
Register the Atlassian Multi MCP server in PolicyLayer and add a rule for getConfluencePageInlineComments: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Atlassian Multi. Nothing to install.
getConfluencePageInlineComments is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getConfluencePageInlineComments rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for getConfluencePageInlineComments. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
getConfluencePageInlineComments is provided by the Atlassian Multi MCP server (ntlongctt/atlassian-multi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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