Get the structured log of all MCP tool operations — timing, status, and summaries. Args: - limit (number, optional): Number of entries to return (default: 50, max: 200) Returns: Array of activity entries with tool name, params, result, duration.
AI agents call get_activity_log to retrieve information from Melo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure read operation that queries and returns historical activity data. It has no side effects, does not modify any state, and does not execute code or trigger operations. The only argument is a limit parameter for pagination. Even if misused by an AI agent, it can only expose information already recorded in logs without causing damage or unintended changes to the Roblox development environment.
From the tool's definition Tool 'get_activity_log' retrieves structured logs of operations with no modification capability — parameters are limited to 'limit' for pagination. Returns historical data only: 'tool name, params, result, duration'.
Attacks that exploit this kind of access
Get the structured log of all MCP tool operations — timing, status, and summaries. Args: - limit (number, optional): Number of entries to return (default: 50, max: 200) Returns: Array of activity entries with tool name, params, result, duration. It is categorised as a Read tool in the Melo MCP Server, which means it retrieves data without modifying state.
Register the Melo MCP server in PolicyLayer and add a rule for get_activity_log: 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 Melo. Nothing to install.
get_activity_log is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_activity_log 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 get_activity_log. 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.
get_activity_log is provided by the Melo MCP server (yannyhl/linkedsword-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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