rb_tree_sim
Build a red-black tree from a list of keys. Returns inorder traversal, tree height, black height, and validity check.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/rb-tree-sim.md
What rb_tree_sim does on UnClick
AI agents invoke rb_tree_sim 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 red-black tree |
Parameters from the server's own tool schema.
Why rb_tree_sim is rated High
This tool executes a data structure algorithm (red-black tree construction and analysis) based on provided keys. While it performs computation rather than data retrieval or modification of persistent state, it goes beyond simple Read (which would only query existing data) by actively running an algorithmic operation.
From the tool's definition Tool performs computational operations: 'Build a red-black tree from a list of keys' with outputs including 'inorder traversal, tree height, black height, and validity check.' These are algorithmic computations that execute logic based on input.
Attacks that exploit this kind of access
The rule that runs rb_tree_sim 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 rb_tree_sim, this is the rule to start with:
rb_tree_sim 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 rb_tree_sim call is checked against it from then on.
Questions about rb_tree_sim
Build a red-black tree from a list of keys. Returns inorder traversal, tree height, black height, and validity check. 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.
rb_tree_sim accepts 1 parameter: 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 rb_tree_sim: 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.
rb_tree_sim 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 rb_tree_sim 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 rb_tree_sim. 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.
rb_tree_sim 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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