AI agents call search_tiddlers to retrieve information from Tiddly MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search operation which is a read-only action with no side effects. It retrieves matching tiddlers but does not create, modify, or delete data. The severity is low because search operations have minimal blast radius—worst case is information disclosure of data the agent likely already has access to.
From the tool's definition Tool name 'search_tiddlers' and description 'Search for tiddlers containing specific text' indicate a query operation that retrieves data without modification.
Documented attack patterns abuse exactly the kind of access search_tiddlers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tiddly MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_tiddlers:
{
"version": "1",
"default": "deny",
"tools": {
"search_tiddlers": {}
}
}search_tiddlers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for tiddlers containing specific text. It is categorised as a Read tool in the Tiddly MCP MCP Server, which means it retrieves data without modifying state.
Register the Tiddly MCP server in PolicyLayer and add a rule for search_tiddlers: 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 Tiddly MCP. Nothing to install.
search_tiddlers 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_tiddlers 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_tiddlers. 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_tiddlers is provided by the Tiddly MCP server (rryan/tiddly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tiddly MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Tiddly MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.