App-only: read shapes from a checkpoint by ID.
Part of the Tldraw server.
Free to start. No card required.
AI agents call read_checkpoint to retrieve information from Tldraw without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though read_checkpoint only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"read_checkpoint": {}
}
}See the full Tldraw policy for all 6 tools.
These attack patterns abuse exactly the kind of access read_checkpoint gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
App-only: read shapes from a checkpoint by ID.. It is categorised as a Read tool in the Tldraw MCP Server, which means it retrieves data without modifying state.
Register the Tldraw MCP server in PolicyLayer and add a rule for read_checkpoint: 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 Tldraw. Nothing to install.
read_checkpoint 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 read_checkpoint 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 read_checkpoint. 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.
read_checkpoint is provided by the Tldraw MCP server (https://tldraw-mcp-app.tldraw.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 Tldraw tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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