search_places
AI agents call search_places to retrieve information from Awslabs Valkey without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name indicates a search operation, which typically retrieves or queries data without side effects. However, confidence is moderate (0.6) because the description is empty, making it impossible to verify the actual capabilities, permissions, or data sensitivity of what 'search_places' returns. Given the server context (ElastiCache/MemoryDB), this could query location or spatial data from a cache.
From the tool's definition Tool name 'search_places' suggests a query/search operation, typical of Read category tools. No destructive, financial, or execution language present.
Attacks that exploit this kind of access
search_places. It is categorised as a Read tool in the Awslabs Valkey MCP Server, which means it retrieves data without modifying state.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for search_places: 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 Awslabs Valkey. Nothing to install.
search_places 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_places 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_places. 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_places is provided by the Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.