privacy.measure_anonymization_effectiveness
Evaluate effectiveness of data anonymization techniques
This record as markdown: /tools/jrmatherly-mcp-context-forge/privacy.measure-anonymization-effectiveness.md
What privacy.measure_anonymization_effectiveness does on ContextForge MCP Gateway
AI agents call privacy.measure_anonymization_effectiveness to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why privacy.measure_anonymization_effectiveness is rated Low
This tool retrieves or analyzes metrics about anonymization effectiveness. It performs measurement and evaluation (read-only operations) without side effects like creating, modifying, deleting, or executing arbitrary code. The sibling tools (add_content, add_node, etc.) confirm this server manages content/graph operations, and this measurement tool sits in a privacy evaluation role.
From the tool's definition Tool name contains 'measure' and description states 'Evaluate effectiveness' — both indicate inspection and assessment of anonymization without modifying or executing external operations. No data is deleted, modified, or moved.
Attacks that exploit this kind of access
The rule that runs privacy.measure_anonymization_effectiveness safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For privacy.measure_anonymization_effectiveness, this is the rule to start with:
privacy.measure_anonymization_effectiveness 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 ContextForge MCP Gateway, apply this rule, and every privacy.measure_anonymization_effectiveness call is checked against it from then on.
Questions about privacy.measure_anonymization_effectiveness
Evaluate effectiveness of data anonymization techniques. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for privacy.measure_anonymization_effectiveness: 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 ContextForge MCP Gateway. Nothing to install.
privacy.measure_anonymization_effectiveness 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 privacy.measure_anonymization_effectiveness 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 privacy.measure_anonymization_effectiveness. 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.
privacy.measure_anonymization_effectiveness is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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