stern_brocot_tree
Find best rational approximation using the Stern-Brocot tree and continued fractions.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/stern-brocot-tree.md
What stern_brocot_tree does on UnClick
AI agents call stern_brocot_tree to retrieve information from UnClick without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
target | number | Yes | Positive number to approximate |
max_denominator | number | — | Maximum denominator allowed (default 1000) |
Parameters from the server's own tool schema.
Why stern_brocot_tree is rated Low
This is a pure mathematical/computational utility that retrieves or generates a rational approximation result based on input parameters. It has no side effects on data, systems, or financial state. It fits the Read category as a query-like mathematical function that returns computed results without modifying any underlying data or triggering external operations.
From the tool's definition Tool name and description indicate a mathematical computation: 'Find best rational approximation using the Stern-Brocot tree and continued fractions.' No data modification, deletion, external operations, or financial impact described.
Attacks that exploit this kind of access
The rule that runs stern_brocot_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 stern_brocot_tree, this is the rule to start with:
stern_brocot_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 UnClick, apply this rule, and every stern_brocot_tree call is checked against it from then on.
Questions about stern_brocot_tree
Find best rational approximation using the Stern-Brocot tree and continued fractions. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
stern_brocot_tree accepts 2 parameters: target, max_denominator. Required: target. 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 stern_brocot_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.
stern_brocot_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 stern_brocot_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 stern_brocot_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.
stern_brocot_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.
More on UnClick, and thousands of servers like it.
This server
Across the catalogue