Move a Fizzy card into a specific column on the board.
AI agents use fizzy_triage_card to create or update resources in Fizzy MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Fizzy MCP Server environment.
This tool repositions a card to a different column, which is a reversible state change (the card can be moved back). It modifies data but does not delete or irreversibly destroy anything, making Write the appropriate category.
From the tool's definition Move a Fizzy card into a specific column on the board
Attacks that exploit this kind of access
Move a Fizzy card into a specific column on the board. It is categorised as a Write tool in the Fizzy MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Fizzy MCP Server MCP server in PolicyLayer and add a rule for fizzy_triage_card: 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 Fizzy MCP Server. Nothing to install.
fizzy_triage_card 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 fizzy_triage_card 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 fizzy_triage_card. 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.
fizzy_triage_card is provided by the Fizzy MCP Server MCP server (ryanyogan/fizzy-mcp). 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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