Get search results as context data for AI assistants.
AI agents call get_search_context to retrieve information from Smithsonian Open Access MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries data from the Smithsonian's 3 million collection objects without side effects. It returns search results and metadata for informational purposes only. No data is created, modified, deleted, or executed. The blast radius of misuse is minimal—an AI could retrieve unwanted information, but cannot alter the collection, execute commands, or create obligations.
From the tool's definition Tool name 'get_search_context' and description 'Get search results as context data for AI assistants' indicate a retrieval operation with no modification, deletion, or execution capabilities.
Documented attack patterns abuse exactly the kind of access get_search_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Smithsonian Open Access MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_search_context:
{
"version": "1",
"default": "deny",
"tools": {
"get_search_context": {}
}
} get_search_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get search results as context data for AI assistants. It is categorised as a Read tool in the Smithsonian Open Access MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Smithsonian Open Access MCP Server MCP server in PolicyLayer and add a rule for get_search_context: 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 Smithsonian Open Access MCP Server. Nothing to install.
get_search_context 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 get_search_context 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 get_search_context. 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.
get_search_context is provided by the Smithsonian Open Access MCP Server MCP server (molanojustin/smithsonian-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Smithsonian Open Access MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
28 Smithsonian Open Access MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.