decision_memory_search

Decision memory search (keyword overlap) (user_id based)

Server Universal Dev MCP kallusuvaidyam/universal_mcp
Category Read
Risk class Low
Parameters 00 required

What decision_memory_search does on Universal Dev MCP

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

Why decision_memory_search needs a policy

This tool searches a decision memory store using keyword overlap, scoped to a user_id. It retrieves data without modifying, deleting, or executing external operations. The search pattern is characteristic of Read category tools. Severity is low because unauthorized access would only expose historical decision records, not enable destructive or financial actions.

From the tool's definition Tool name 'decision_memory_search' and description 'search (keyword overlap) (user_id based)' indicate a retrieval operation. The 'search' verb and absence of modification, deletion, or execution language confirm read-only behavior.

Questions about decision_memory_search

What does the decision_memory_search tool do? +

Decision memory search (keyword overlap) (user_id based). It is categorised as a Read tool in the Universal Dev MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on decision_memory_search? +

Register the Universal Dev MCP server in PolicyLayer and add a rule for decision_memory_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 Universal Dev MCP. Nothing to install.

What risk level is decision_memory_search? +

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

Can I rate-limit decision_memory_search? +

Yes. Add a rate_limit block to the decision_memory_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.

How do I block decision_memory_search completely? +

Set action: deny in the PolicyLayer policy for decision_memory_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.

What MCP server provides decision_memory_search? +

decision_memory_search is provided by the Universal Dev MCP server (kallusuvaidyam/universal_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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