AI agents call semantic-search to retrieve information from Mcp Pinecone without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data from a vector index without modifying, deleting, or executing external operations. The search operation is a standard read pattern that returns results based on semantic similarity. No side effects, data modifications, or irreversible actions occur. Severity is low because data retrieval without side effects poses minimal risk even if misused by an agent.
From the tool's definition Tool name 'semantic-search' and description 'Search for records in the Pinecone index' indicate a query/retrieval operation.
Documented attack patterns abuse exactly the kind of access semantic-search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Pinecone, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic-search:
{
"version": "1",
"default": "deny",
"tools": {
"semantic-search": {}
}
}semantic-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 records in the Pinecone index. It is categorised as a Read tool in the Mcp Pinecone MCP Server, which means it retrieves data without modifying state.
Register the Mcp Pinecone MCP server in PolicyLayer and add a rule for semantic-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 Mcp Pinecone. Nothing to install.
semantic-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 semantic-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 semantic-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.
semantic-search is provided by the Mcp Pinecone MCP server (sirmews/mcp-pinecone). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Mcp Pinecone tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
5 Mcp Pinecone tools catalogued and risk-classified — across an index of 42,500+ MCP servers.