AI agents call export_local_bundle to retrieve information from Todos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and exports local data into a JSON bundle without modifying or deleting anything. 'No cloud calls' confirms no external side effects. Severity is medium because it bundles potentially sensitive project data (tasks, plans, evidence, comments) which could expose confidential information if misused.
From the tool's definition Export local projects/tasks/plans/deps/templates/comments/evidence as a stable JSON bundle
Attacks that exploit this kind of access
Export local projects/tasks/plans/deps/templates/comments/evidence as a stable JSON bundle for local bridge transfer. No cloud calls. It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.
Register the Todos MCP server in PolicyLayer and add a rule for export_local_bundle: 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 Todos. Nothing to install.
export_local_bundle 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 export_local_bundle 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 export_local_bundle. 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.
export_local_bundle is provided by the Todos MCP server (@hasna/todos). 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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