Retry a failed queue job by id, or all failed jobs of a kind.
AI agents invoke wafle_system_queue_retry to trigger actions in wafle MCP server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool re-executes previously failed queue jobs, which triggers external operations. The effects depend on what the retried jobs do (could be order processing, payment, notifications, etc.). It is an execution trigger rather than a simple read or write, and could have wide blast radius if 'all failed jobs of a kind' are retried at once, potentially re-triggering many operations.
From the tool's definition Retry a failed queue job by id, or all failed jobs of a kind
Attacks that exploit this kind of access
Retry a failed queue job by id, or all failed jobs of a kind. It is categorised as a Execute tool in the wafle MCP server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the wafle MCP server MCP server in PolicyLayer and add a rule for wafle_system_queue_retry: 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 wafle MCP server. Nothing to install.
wafle_system_queue_retry is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the wafle_system_queue_retry 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 wafle_system_queue_retry. 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.
wafle_system_queue_retry is provided by the wafle MCP server MCP server (the33warehouse-tech/wafle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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