get_replay_status

Check the status of a replay job

Server RequestBin MCP Server requestbin/mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_replay_status does on RequestBin MCP Server

AI agents call get_replay_status to retrieve information from RequestBin MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_replay_status needs a policy

This tool retrieves the status of an existing replay job. It is a read-only operation with no side effects, making it a Read category risk. The severity is low because checking status information poses minimal security risk—it cannot execute code, modify data, delete resources, or initiate financial transactions.

From the tool's definition Tool name 'get_replay_status' and description 'Check the status of a replay job' indicate a query operation that retrieves status information without modifying or executing anything.

Questions about get_replay_status

What does the get_replay_status tool do? +

Check the status of a replay job. It is categorised as a Read tool in the RequestBin MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_replay_status? +

Register the RequestBin MCP Server MCP server in PolicyLayer and add a rule for get_replay_status: 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 RequestBin MCP Server. Nothing to install.

What risk level is get_replay_status? +

get_replay_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_replay_status? +

Yes. Add a rate_limit block to the get_replay_status 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 get_replay_status completely? +

Set action: deny in the PolicyLayer policy for get_replay_status. 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 get_replay_status? +

get_replay_status is provided by the RequestBin MCP Server MCP server (requestbin/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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