Search through all saved conversations using full-text search. Supports boolean operators (AND, OR, NOT), phrases in quotes, and prefix matching with *. Useful for finding discussions across all workspaces.
AI agents call search_conversations to retrieve information from Context Persistence MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves conversation data across workspaces without modifying, deleting, or executing operations. It is clearly a Read category tool. Severity is elevated to medium rather than low because: (1) conversations may contain sensitive code, credentials, or proprietary discussion details across multiple repositories; (2) an AI agent with unconstrained search access could exfiltrate or summarize all…
From the tool's definition Tool name is 'search_conversations' and description states it 'search[es] through all saved conversations using full-text search' with support for boolean operators and prefix matching.
Attacks that exploit this kind of access
Search through all saved conversations using full-text search. Supports boolean operators (AND, OR, NOT), phrases in quotes, and prefix matching with *. Useful for finding discussions across all workspaces. It is categorised as a Read tool in the Context Persistence MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Context Persistence MCP Server MCP server in PolicyLayer and add a rule for search_conversations: 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 Context Persistence MCP Server. Nothing to install.
search_conversations 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_conversations 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_conversations. 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_conversations is provided by the Context Persistence MCP Server MCP server (jayasimhag1reddy/context-persistance). 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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