delegation_retry

Retry a failed delegation with optional feedback. Implements exponential backoff.

Server Musubix @nahisaho/musubix-mcp-server
Category Execute
Risk class High
Parameters 00 required

What delegation_retry does on Musubix

AI agents invoke delegation_retry to trigger actions in Musubix. 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.

Why delegation_retry needs a policy

This tool re-triggers a delegation operation that previously failed, causing an external operation to be re-executed. 'Retry a failed delegation' indicates it re-dispatches or re-runs an action, placing it in the Execute category.

From the tool's definition Retry a failed delegation with optional feedback. Implements exponential backoff.

Questions about delegation_retry

What does the delegation_retry tool do? +

Retry a failed delegation with optional feedback. Implements exponential backoff. It is categorised as a Execute tool in the Musubix MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on delegation_retry? +

Register the Musubix MCP server in PolicyLayer and add a rule for delegation_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 Musubix. Nothing to install.

What risk level is delegation_retry? +

delegation_retry is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit delegation_retry? +

Yes. Add a rate_limit block to the delegation_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.

How do I block delegation_retry completely? +

Set action: deny in the PolicyLayer policy for delegation_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.

What MCP server provides delegation_retry? +

delegation_retry is provided by the Musubix MCP server (@nahisaho/musubix-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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