AI agents call search_entries to retrieve information from MCP-DayOne without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a search/query operation on existing journal entries. Searching is a read-only retrieval action with no side effects, no code execution, no data modification, and no destructive or financial implications. The low severity reflects minimal blast radius if misused by an agent — it can only access and return journal content the user already owns.
From the tool's definition Tool name is 'search_entries' and description states 'Search journal entries by text content' — this is a query operation that retrieves data without modifying or deleting anything.
Documented attack patterns abuse exactly the kind of access search_entries gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP-DayOne, and nothing reaches the server without passing your rules. This is the rule we recommend for search_entries:
{
"version": "1",
"default": "deny",
"tools": {
"search_entries": {}
}
} search_entries is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search journal entries by text content. It is categorised as a Read tool in the MCP-DayOne MCP Server, which means it retrieves data without modifying state.
Register the MCP-DayOne MCP server in PolicyLayer and add a rule for search_entries: 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-DayOne. Nothing to install.
search_entries 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 search_entries 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 search_entries. 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.
search_entries is provided by the MCP-DayOne MCP server (quevin/mcp-dayone). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP-DayOne, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 MCP-DayOne tools catalogued and risk-classified — across an index of 43,000+ MCP servers.