[Deprecated: Use aiobs_search_sessions] Search and filter AI agent sessions.
AI agents call search_sessions to retrieve information from Shepherd MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters session data from observability providers for debugging and analysis purposes. It has no side effects, does not modify data, execute code, delete records, or move funds.
From the tool's definition Tool description explicitly states it 'Search[es] and filter[s] AI agent sessions' — purely query operations with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
[Deprecated: Use aiobs_search_sessions] Search and filter AI agent sessions. It is categorised as a Read tool in the Shepherd MCP MCP Server, which means it retrieves data without modifying state.
Register the Shepherd MCP server in PolicyLayer and add a rule for search_sessions: 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 Shepherd MCP. Nothing to install.
search_sessions 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_sessions 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_sessions. 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_sessions is provided by the Shepherd MCP server (neuralis-in/shepherd-mcp). 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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