Search for posts across your Slab workspace
AI agents call slab__search to retrieve information from Slabby 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 to locate and retrieve documentation posts from Slab. Search is a read-only operation that queries existing data without creating, modifying, deleting, or executing code. The lack of any modification capability, combined with the explicit 'search' terminology, clearly places this in the Read category with low severity.
From the tool's definition Tool name 'slab__search' and description 'Search for posts across your Slab workspace' indicate a query operation that retrieves data without modification or side effects.
Documented attack patterns abuse exactly the kind of access slab__search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Slabby, and nothing reaches the server without passing your rules. This is the rule we recommend for slab__search:
{
"version": "1",
"default": "deny",
"tools": {
"slab__search": {}
}
}slab__search 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 posts across your Slab workspace. It is categorised as a Read tool in the Slabby MCP Server, which means it retrieves data without modifying state.
Register the Slabby MCP server in PolicyLayer and add a rule for slab__search: 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 Slabby. Nothing to install.
slab__search 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 slab__search 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 slab__search. 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.
slab__search is provided by the Slabby MCP server (russwyte/slabby). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Slabby, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Slabby tools catalogued and risk-classified — across an index of 43,000+ MCP servers.