arjun_parameter_discovery
A execute tool on the Pengstrike MCP server.
This record as markdown: /tools/pengstrike-mcp/arjun-parameter-discovery.md
What arjun_parameter_discovery does on Pengstrike
AI agents invoke arjun_parameter_discovery to trigger actions in Pengstrike. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why arjun_parameter_discovery is rated High
Arjun is an active scanning tool that sends HTTP requests to discover hidden parameters on web targets. This constitutes active execution against external systems. The description is empty, reducing confidence, but the tool name and server context strongly imply active probing/scanning behavior.
From the tool's definition Tool name 'arjun_parameter_discovery' references Arjun, a well-known HTTP parameter discovery tool used in security reconnaissance.
Attacks that exploit this kind of access
The rule that runs arjun_parameter_discovery 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 arjun_parameter_discovery, this is the rule to start with:
arjun_parameter_discovery stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 arjun_parameter_discovery call is checked against it from then on.
Questions about arjun_parameter_discovery
arjun_parameter_discovery is a execute tool on the Pengstrike MCP server. It is categorised as a Execute tool in the Pengstrike MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pengstrike MCP server in PolicyLayer and add a rule for arjun_parameter_discovery: 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.
arjun_parameter_discovery is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the arjun_parameter_discovery 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 arjun_parameter_discovery. 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.
arjun_parameter_discovery 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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