Check if a file has changed since it was cached
AI agents call context_file_changed to retrieve information from MCP Memory Keeper without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and compares information (file change status) without creating, modifying, deleting, or executing anything. It is a detection/query function that provides status information about cached files, fitting the Read category.
From the tool's definition Tool description states 'Check if a file has changed since it was cached' — a pure query operation that compares state without modification. The verb 'check' and the read-only nature of comparing cached state against current state indicate no side effects.
Documented attack patterns abuse exactly the kind of access context_file_changed gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Memory Keeper, and nothing reaches the server without passing your rules. This is the rule we recommend for context_file_changed:
{
"version": "1",
"default": "deny",
"tools": {
"context_file_changed": {}
}
} context_file_changed is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check if a file has changed since it was cached. It is categorised as a Read tool in the MCP Memory Keeper MCP Server, which means it retrieves data without modifying state.
Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_file_changed: 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 Memory Keeper. Nothing to install.
context_file_changed 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 context_file_changed 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 context_file_changed. 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.
context_file_changed is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Memory Keeper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.