uro_url_filtering
A read tool on the Pengstrike MCP server.
This record as markdown: /tools/pengstrike-mcp/uro-url-filtering.md
What uro_url_filtering does on Pengstrike
AI agents call uro_url_filtering to retrieve information from Pengstrike without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why uro_url_filtering is rated Low
Based on the name alone, URL filtering typically retrieves, processes, or queries URL data without modifying external systems. However, the empty description and context within a 'recon console' with security/attack-focused sibling tools (payload generation, vulnerability assessment, attack suites) creates ambiguity.
From the tool's definition Tool name 'uro_url_filtering' suggests URL filtering/processing operation. No description provided to clarify intent.
Attacks that exploit this kind of access
The rule that runs uro_url_filtering safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pengstrike, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For uro_url_filtering, this is the rule to start with:
uro_url_filtering is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pengstrike, apply this rule, and every uro_url_filtering call is checked against it from then on.
Questions about uro_url_filtering
uro_url_filtering is a read tool on the Pengstrike MCP server. It is categorised as a Read tool in the Pengstrike MCP Server, which means it retrieves data without modifying state.
Register the Pengstrike MCP server in PolicyLayer and add a rule for uro_url_filtering: 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 Pengstrike. Nothing to install.
uro_url_filtering 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 uro_url_filtering 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 uro_url_filtering. 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.
uro_url_filtering is provided by the Pengstrike MCP server (wangqiongpeng/pengstrike-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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