avl_tree
Build an AVL (self-balancing BST) from a list of keys. Returns inorder traversal, tree height, and optional key search results.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/avl-tree.md
What avl_tree does on UnClick
AI agents invoke avl_tree to trigger actions in UnClick. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
keys | array | Yes | Keys to insert into the AVL tree |
search_keys | array | — | Optional keys to search for in the tree |
Parameters from the server's own tool schema.
Why avl_tree is rated High
This tool performs a computational operation (constructing and traversing a data structure) rather than simply reading existing data or writing/modifying persistent state. It executes an algorithm on provided input and returns computed results.
From the tool's definition 'Build an AVL (self-balancing BST) from a list of keys' and 'Returns inorder traversal, tree height, and optional key search results'
Attacks that exploit this kind of access
The rule that runs avl_tree safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For avl_tree, this is the rule to start with:
avl_tree stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect UnClick, apply this rule, and every avl_tree call is checked against it from then on.
Questions about avl_tree
Build an AVL (self-balancing BST) from a list of keys. Returns inorder traversal, tree height, and optional key search results. It is categorised as a Execute tool in the UnClick MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
avl_tree accepts 2 parameters: keys, search_keys. Required: keys. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for avl_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 UnClick. Nothing to install.
avl_tree is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the avl_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 avl_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.
avl_tree is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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