AI agents call get_value to retrieve information from Mcp Csu without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve a single value from the statistical datasets. Despite the empty description, the naming pattern and context strongly suggest a read operation that queries data without side effects. No evidence of write, execute, destructive, or financial operations exists in the tool name or server description.
From the tool's definition Tool name 'get_value' combined with sibling tools (get_dataset, get_indicator, get_dataset_metadata) indicates data retrieval.
Attacks that exploit this kind of access
get_value. It is categorised as a Read tool in the Mcp Csu MCP Server, which means it retrieves data without modifying state.
Register the Mcp Csu MCP server in PolicyLayer and add a rule for get_value: 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 Mcp Csu. Nothing to install.
get_value 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_value 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_value. 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_value is provided by the Mcp Csu MCP server (reloadcz/mcp-csu). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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