conversation_threads
AI agents call conversation_threads to retrieve information from Rekal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without explicit description, the tool name indicates a query operation to retrieve or list conversation threads from the SQLite storage. No evidence of data modification, deletion, execution, or financial operations. The naming convention and server context (long-term memory retrieval) strongly suggest read-only access to conversation history. Lowered confidence due to empty description.
From the tool's definition Tool name 'conversation_threads' with context of a memory/conversation management system suggests retrieval of conversation thread data. Description is empty, limiting specificity.
Documented attack patterns abuse exactly the kind of access conversation_threads gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Rekal, and nothing reaches the server without passing your rules. This is the rule we recommend for conversation_threads:
{
"version": "1",
"default": "deny",
"tools": {
"conversation_threads": {}
}
}conversation_threads is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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conversation_threads. It is categorised as a Read tool in the Rekal MCP Server, which means it retrieves data without modifying state.
Register the Rekal MCP server in PolicyLayer and add a rule for conversation_threads: 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 Rekal. Nothing to install.
conversation_threads 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 conversation_threads 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 conversation_threads. 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.
conversation_threads is provided by the Rekal MCP server (janbjorge/rekal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Rekal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 Rekal tools catalogued and risk-classified — across an index of 43,000+ MCP servers.