global_search_cards_by_embedding

Semantic search for cards in all projects using OpenAI embeddings.

Server FlashCardsMCP mtib/flash-cards-mcp
Category Read
Risk class Low
Parameters 00 required

What global_search_cards_by_embedding does on FlashCardsMCP

AI agents call global_search_cards_by_embedding to retrieve information from FlashCardsMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why global_search_cards_by_embedding needs a policy

This tool performs a semantic search query across flash card data using embeddings. It retrieves matching cards but does not create, modify, delete, or execute external operations. The operation is non-destructive and read-only. Severity is low as misuse would only expose existing data already stored in the system, with no blast radius beyond information disclosure.

From the tool's definition Tool description states 'Semantic search for cards in all projects using OpenAI embeddings' — the verb 'search' indicates retrieval/query operation with no side effects.

Risk signalsBulk/mass operation — affects multiple targets

Questions about global_search_cards_by_embedding

What does the global_search_cards_by_embedding tool do? +

Semantic search for cards in all projects using OpenAI embeddings. It is categorised as a Read tool in the FlashCardsMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on global_search_cards_by_embedding? +

Register the FlashCards MCP server in PolicyLayer and add a rule for global_search_cards_by_embedding: 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 FlashCardsMCP. Nothing to install.

What risk level is global_search_cards_by_embedding? +

global_search_cards_by_embedding is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit global_search_cards_by_embedding? +

Yes. Add a rate_limit block to the global_search_cards_by_embedding 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.

How do I block global_search_cards_by_embedding completely? +

Set action: deny in the PolicyLayer policy for global_search_cards_by_embedding. 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.

What MCP server provides global_search_cards_by_embedding? +

global_search_cards_by_embedding is provided by the FlashCards MCP server (mtib/flash-cards-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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