AI agents use modify_entry to create or update resources in Ldap — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ldap environment.
modify_entry creates or modifies data in an LDAP directory reversibly, making it a Write operation. While the tool description is empty, the context from the server description and sibling tools confirms CRUD capability.
From the tool's definition Tool name 'modify_entry' combined with sibling tools 'add_entry', 'delete_entry', 'get_entry', and 'search_entries' indicates this is part of a full CRUD LDAP operation suite. The server description explicitly states 'supporting full CRUD' operations.
Attacks that exploit this kind of access
modify_entry. It is categorised as a Write tool in the Ldap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ldap MCP server in PolicyLayer and add a rule for modify_entry: 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 Ldap. Nothing to install.
modify_entry is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the modify_entry 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 modify_entry. 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.
modify_entry is provided by the Ldap MCP server (markizano/ldap-mcp-server). 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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