replay_connection_delivery
Re-arm ONE dead delivery so the pump tries it again — the escape hatch for \
This record as markdown: /tools/io-github-proagentstore-platform/replay-connection-delivery.md
What replay_connection_delivery does on ProAgentStore
AI agents invoke replay_connection_delivery to trigger actions in ProAgentStore. 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 replay_connection_delivery is rated High
Triggers a retry of a failed delivery, executing an external operation again.
From the tool's definition Re-arm ONE dead delivery so the pump tries it again
Attacks that exploit this kind of access
The rule that runs replay_connection_delivery safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For replay_connection_delivery, this is the rule to start with:
replay_connection_delivery stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every replay_connection_delivery call is checked against it from then on.
Questions about replay_connection_delivery
Re-arm ONE dead delivery so the pump tries it again — the escape hatch for \. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for replay_connection_delivery: 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 ProAgentStore. Nothing to install.
replay_connection_delivery 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 replay_connection_delivery 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 replay_connection_delivery. 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.
replay_connection_delivery is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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