AI agents call outline to retrieve information from Markview without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure read operation that parses markdown structure and returns data without creating, modifying, deleting, or executing anything. The tool has minimal blast radius if misused by an agent, as it only retrieves structural information from content already accessible to the user.
From the tool's definition Tool 'outline' extracts and returns heading tree from markdown content as JSON—a query operation with no modification or side effects.
Attacks that exploit this kind of access
Extract the heading tree from markdown content. Returns a JSON array of headings. It is categorised as a Read tool in the Markview MCP Server, which means it retrieves data without modifying state.
Register the Markview MCP server in PolicyLayer and add a rule for outline: 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 Markview. Nothing to install.
outline 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 outline 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 outline. 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.
outline is provided by the Markview MCP server (mcp-server-markview). 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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