aggregate_flows

aggregate_flows

Server Tshark ouonet/tshark-mcp
Category Read
Risk class Low
Parameters 00 required

What aggregate_flows does on Tshark

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

Why aggregate_flows needs a policy

Despite the uninformative empty description, the verb 'aggregate' typically indicates summarization or grouping of already-captured packet/flow data without modification. The sibling tools are predominantly Read (analyze_*, extract_*) or Execute (capture_*, export_*) in nature. Given TShark's nature as a packet analyzer, aggregating flows would retrieve and compute statistics over flows without side effects.

From the tool's definition Tool name 'aggregate_flows' suggests computation/summarization of network flow data. The empty description provides no direct evidence, but the name pattern and context (network packet analysis suite) implies read-only aggregation of existing capture data.

Questions about aggregate_flows

What does the aggregate_flows tool do? +

aggregate_flows. It is categorised as a Read tool in the Tshark MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on aggregate_flows? +

Register the Tshark MCP server in PolicyLayer and add a rule for aggregate_flows: 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 Tshark. Nothing to install.

What risk level is aggregate_flows? +

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

Can I rate-limit aggregate_flows? +

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

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

aggregate_flows is provided by the Tshark MCP server (ouonet/tshark-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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