hierarchy_tree
v12.5.0 \u2014 Hierarchy tree as nested JSON. With an explicit root, returns just that subtree; without, returns all root entities. Useful for visualising parent/child structure.
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What hierarchy_tree does on Enhanced Knowledge Graph Memory Server
AI agents call hierarchy_tree to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why hierarchy_tree is rated Low
This tool retrieves and displays the parent-child structure of entities in the knowledge graph. It queries existing data and formats it for visualization without modifying, deleting, or executing operations. The read-only nature and visualization purpose place it squarely in the Read category with minimal security risk.
From the tool's definition Tool returns a hierarchy tree as nested JSON for visualization purposes. The description uses 'returns' language indicating data retrieval with no modification capability. No parameters mentioned that would enable write, delete, or execution actions.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs hierarchy_tree safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hierarchy_tree, this is the rule to start with:
hierarchy_tree is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every hierarchy_tree call is checked against it from then on.
Questions about hierarchy_tree
v12.5.0 \u2014 Hierarchy tree as nested JSON. With an explicit root, returns just that subtree; without, returns all root entities. Useful for visualising parent/child structure. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for hierarchy_tree: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.
hierarchy_tree 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 hierarchy_tree 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 hierarchy_tree. 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.
hierarchy_tree is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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