AI agents call search_observables to retrieve information from SeldomMaster without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Search and query operations that retrieve threat intelligence data are Read category—no side effects on the remote systems or data stores. Severity is medium because while read-only, misuse could expose sensitive threat intelligence or reconnaissance data that an agent might use to inform malicious targeting, though the tool itself causes no direct harm.
From the tool's definition The tool name 'search_observables' and description indicate a query/search operation for threat intelligence data (observables are indicators like IPs, domains, hashes used in security research).
Documented attack patterns abuse exactly the kind of access search_observables gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SeldomMaster, and nothing reaches the server without passing your rules. This is the rule we recommend for search_observables:
{
"version": "1",
"default": "deny",
"tools": {
"search_observables": {}
}
} search_observables is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Name: search_observables. It is categorised as a Read tool in the SeldomMaster MCP Server, which means it retrieves data without modifying state.
Register the SeldomMaster MCP server in PolicyLayer and add a rule for search_observables: 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 SeldomMaster. Nothing to install.
search_observables 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_observables 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_observables. 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_observables is provided by the SeldomMaster MCP server (paralax/seldommonster). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SeldomMaster, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 SeldomMaster tools catalogued and risk-classified — across an index of 43,000+ MCP servers.