Aggregate log data by specified criteria
AI agents call aggregate_logs to retrieve information from JSON Logs MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Aggregating log data is a read operation that queries and summarizes existing logs without creating, modifying, deleting, or executing any external operations. The tool retrieves and processes data for analysis only, with no side effects or state changes.
From the tool's definition Tool name 'aggregate_logs' and description 'Aggregate log data by specified criteria' indicate data retrieval and analysis operations.
Attacks that exploit this kind of access
Aggregate log data by specified criteria. It is categorised as a Read tool in the JSON Logs MCP Server MCP Server, which means it retrieves data without modifying state.
Register the JSON Logs MCP Server MCP server in PolicyLayer and add a rule for aggregate_logs: 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 JSON Logs MCP Server. Nothing to install.
aggregate_logs 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 aggregate_logs 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 aggregate_logs. 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.
aggregate_logs is provided by the JSON Logs MCP Server MCP server (mfreeman451/json-logs-mcp-server). 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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