Read a previously generated markdown correction report.
AI agents call get_correction_report to retrieve information from GongMun Doctor MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays a correction report that was previously generated. It performs a query/read operation on stored data (a markdown file), which matches the Read category definition: 'retrieves or queries data; no side effects'. There is no modification, deletion, execution of external code, or financial impact.
From the tool's definition Tool name 'get_correction_report' and description 'Read a previously generated markdown correction report' explicitly indicate retrieval of existing data with no side effects.
Documented attack patterns abuse exactly the kind of access get_correction_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GongMun Doctor MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_correction_report:
{
"version": "1",
"default": "deny",
"tools": {
"get_correction_report": {}
}
} get_correction_report 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.
Read a previously generated markdown correction report. It is categorised as a Read tool in the GongMun Doctor MCP MCP Server, which means it retrieves data without modifying state.
Register the GongMun Doctor MCP server in PolicyLayer and add a rule for get_correction_report: 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 GongMun Doctor MCP. Nothing to install.
get_correction_report 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_correction_report 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_correction_report. 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_correction_report is provided by the GongMun Doctor MCP server (sinmb79/gongmun-doctor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GongMun Doctor 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.
10 GongMun Doctor MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.