checkpoint_recipe
Create a manual checkpoint snapshot of a recipe. Unlike auto-snapshots (which coalesce within 60 seconds), a checkpoint is always recorded as its own version with parent_kind=
This record as markdown: /tools/flowdot-llc-mcp-server/checkpoint-recipe.md
What checkpoint_recipe does on FlowDot MCP Server
AI agents use checkpoint_recipe to create or update resources in FlowDot MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FlowDot MCP Server environment.
Why checkpoint_recipe is rated Medium
The tool creates and records a new checkpoint/snapshot entity in the system. This is a Write operation because it creates new data (a checkpoint snapshot with its own version record) with reversible effects—snapshots can typically be discarded or rolled back.
From the tool's definition Tool performs 'Create a manual checkpoint snapshot of a recipe' which records a new version as 'its own version'. This is a reversible data creation action that modifies the recipe's version history.
Attacks that exploit this kind of access
The rule that runs checkpoint_recipe safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For checkpoint_recipe, this is the rule to start with:
checkpoint_recipe stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every checkpoint_recipe call is checked against it from then on.
Questions about checkpoint_recipe
Create a manual checkpoint snapshot of a recipe. Unlike auto-snapshots (which coalesce within 60 seconds), a checkpoint is always recorded as its own version with parent_kind=. It is categorised as a Write tool in the FlowDot MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for checkpoint_recipe: 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 FlowDot MCP Server. Nothing to install.
checkpoint_recipe is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the checkpoint_recipe 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 checkpoint_recipe. 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.
checkpoint_recipe is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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