AI agents call rerank to retrieve information from Atlas without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Re-ranking is a read-only operation that scores and reorders search results. It retrieves and processes data (likely embeddings or document scores) to improve relevance ranking, but does not create, modify, delete, or execute arbitrary operations.
From the tool's definition Tool name 'rerank' with no description provided. Sibling tools include 'batch_rerank' and 'rerank_with_context', which are re-ranking operations typical in search/retrieval systems. Re-ranking re-orders results without modifying underlying data.
Attacks that exploit this kind of access
rerank. It is categorised as a Read tool in the Atlas MCP Server, which means it retrieves data without modifying state.
Register the Atlas MCP server in PolicyLayer and add a rule for rerank: 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 Atlas. Nothing to install.
rerank 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 rerank 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 rerank. 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.
rerank is provided by the Atlas MCP server (rsanandres/atlas_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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