Search through saved research data using semantic similarity.
AI agents call search_research_data to retrieve information from AI Research Assistant 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 existing research data without creating, modifying, or deleting any data. The semantic search capability is a read-only operation that returns results based on similarity matching. No destructive, financial, or code execution operations are performed. This is a classic Read category tool with minimal risk.
From the tool's definition Tool name 'search_research_data' and description 'Search through saved research data using semantic similarity' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Search through saved research data using semantic similarity. It is categorised as a Read tool in the AI Research Assistant MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AI Research Assistant MCP Server MCP server in PolicyLayer and add a rule for search_research_data: 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 AI Research Assistant MCP Server. Nothing to install.
search_research_data 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_research_data 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_research_data. 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_research_data is provided by the AI Research Assistant MCP Server MCP server (sagarkpoojary/sagar-mcp-project). 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.
Teams ship this data inside their own products. See what a licence covers →