AI agents call list_sections to retrieve information from Tuskr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists existing sections from a Tuskr project without any side effects. It is a straightforward read operation that queries project metadata. The low severity reflects that listing sections poses minimal risk even if misused by an AI agent, as it only exposes project structure information without modifying or executing anything.
From the tool's definition Tool name is 'list_sections' and description states it 'List Tuskr project sections' — a pure retrieval operation with no data modification, execution, or deletion.
Attacks that exploit this kind of access
List Tuskr project sections. It is categorised as a Read tool in the Tuskr MCP Server, which means it retrieves data without modifying state.
Register the Tuskr MCP server in PolicyLayer and add a rule for list_sections: 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 Tuskr. Nothing to install.
list_sections 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 list_sections 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 list_sections. 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.
list_sections is provided by the Tuskr MCP server (zapkid/tuskr-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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