PRIORITY 1 — Semantic search across the pre-indexed Materio document library. Uses Google Gemini (gemini-embedding-2-preview) to match your question against extracted textbook chunks stored in a vector database. Always call this first before attempting fetch_pdf. Returns the most relevant text pa...
AI agents call search to retrieve information from Materio MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and queries educational PDF resources using semantic search without creating, modifying, deleting, or executing any operations. It is purely a read operation that returns search results with similarity scores and source references. The use of Google Gemini embeddings is for matching/retrieval only, not for code execution or external operations.
From the tool's definition Semantic search across pre-indexed document library; returns relevant text passages and metadata; no mutations or side effects.
Attacks that exploit this kind of access
PRIORITY 1 — Semantic search across the pre-indexed Materio document library. Uses Google Gemini (gemini-embedding-2-preview) to match your question against extracted textbook chunks stored in a vector database. Always call this first before attempting fetch_pdf. Returns the most relevant text passages with similarity scores and source page references. Args: - query (string): The specific question, concept, or topic to search for. Be precise — e.g. It is categorised as a Read tool in the Materio MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Materio MCP Server MCP server in PolicyLayer and add a rule for 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 Materio MCP Server. Nothing to install.
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 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 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.
search is provided by the Materio MCP Server MCP server (materioa/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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