Search multiple topics in a single call. More efficient than calling query_knowledge multiple times. Max 10 queries per batch.
AI agents call batch_query to retrieve information from Knowledgelib without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
batch_query retrieves and searches pre-verified knowledge units without creating, modifying, deleting, or executing any operations. It is a read-only search tool with minimal blast radius even if an AI agent misuses it—worst case is retrieving irrelevant or excessive knowledge results. No destructive, financial, or code-execution capabilities are present.
From the tool's definition Tool description states 'Search multiple topics in a single call' and is explicitly described as a batch variant of query_knowledge. The max 10 queries constraint and efficiency focus indicate read-only retrieval operations with no side effects.
Attacks that exploit this kind of access
Search multiple topics in a single call. More efficient than calling query_knowledge multiple times. Max 10 queries per batch. It is categorised as a Read tool in the Knowledgelib MCP Server, which means it retrieves data without modifying state.
Register the Knowledgelib MCP server in PolicyLayer and add a rule for batch_query: 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 Knowledgelib. Nothing to install.
batch_query 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 batch_query 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 batch_query. 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.
batch_query is provided by the Knowledgelib MCP server (peterbeck111/knowledgelib-io). 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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