This record as markdown: /tools/todos/export-run-replay.md
What export_run_replay does on Todos
AI agents call export_run_replay to retrieve information from Todos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why export_run_replay is rated Low
This tool exports/reads existing run record data and saves it as a local JSON file. It retrieves and serializes existing data without modifying, deleting, or executing anything. Writing a local JSON file is a side effect of a read/export operation, similar to a download, keeping it in the Read category. Severity is low as it only exports data.
From the tool's definition Export a run record replay bundle to local JSON
Attacks that exploit this kind of access
The rule that runs export_run_replay safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For export_run_replay, this is the rule to start with:
export_run_replay is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every export_run_replay call is checked against it from then on.
Questions about export_run_replay
Export a run record replay bundle to local JSON. 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_run_replay: 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_run_replay 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_run_replay 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_run_replay. 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_run_replay 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.
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