AI agents use create_recipe_draft to create or update resources in Fichapao — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Fichapao environment.
The tool creates a new bakery recipe technical sheet in draft status (version 0.1). This is a Write operation: it creates new data that can be modified or deleted later. It is reversible (drafts can be discarded or archived).
From the tool's definition Tool description states 'Cria uma nova ficha tecnica em rascunho' (Creates a new technical sheet in draft), indicating creation of data.
Attacks that exploit this kind of access
Cria uma nova ficha tecnica em rascunho na versao 0.1. It is categorised as a Write tool in the Fichapao MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Fichapao MCP server in PolicyLayer and add a rule for create_recipe_draft: 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 Fichapao. Nothing to install.
create_recipe_draft 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 create_recipe_draft 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 create_recipe_draft. 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.
create_recipe_draft is provided by the Fichapao MCP server (kratos4ai/fichapao-mcp-server). 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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