get_task_result
A read tool on the Pengstrike MCP server.
This record as markdown: /tools/pengstrike-mcp/get-task-result.md
What get_task_result does on Pengstrike
AI agents call get_task_result 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 get_task_result is rated Low
Based on naming convention and the context of a JADX reverse engineering server with sibling tools focused on analysis and decompilation, this tool likely retrieves cached or completed analysis results (Read category). However, the empty description limits confidence.
From the tool's definition Tool name 'get_task_result' suggests retrieval of previously computed analysis results. The description is empty, providing no direct evidence of capabilities.
Attacks that exploit this kind of access
The rule that runs get_task_result 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 get_task_result, this is the rule to start with:
get_task_result 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 get_task_result call is checked against it from then on.
Questions about get_task_result
get_task_result 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 get_task_result: 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.
get_task_result 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_task_result 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_task_result. 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_task_result 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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