AI agents call topic_based_summary to retrieve information from FullScope-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs summarization—a read operation that processes input data to extract and return relevant information. There are no side effects, no data modification, no code execution, and no destructive or financial operations. The operation is informational and reversible. Severity is low because misuse would only result in unwanted information disclosure, not system compromise or data loss.
From the tool's definition Tool description indicates 'returns most relevant content summary' based on 'given materials and query topic'.
Documented attack patterns abuse exactly the kind of access topic_based_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and FullScope-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for topic_based_summary:
{
"version": "1",
"default": "deny",
"tools": {
"topic_based_summary": {}
}
}topic_based_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
主题汇总功能 - 基于给定资料和查询主题，返回最相关的内容总结（2k字符内）. It is categorised as a Read tool in the FullScope-MCP MCP Server, which means it retrieves data without modifying state.
Register the FullScope- MCP server in PolicyLayer and add a rule for topic_based_summary: 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 FullScope-MCP. Nothing to install.
topic_based_summary 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 topic_based_summary 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 topic_based_summary. 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.
topic_based_summary is provided by the FullScope- MCP server (yzfly/fullscope-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from FullScope-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 FullScope-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.