pi_approx
Approximate pi using Leibniz, Nilakantha, and Wallis formulas. Compare convergence rates.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/pi-approx.md
What pi_approx does on UnClick
AI agents call pi_approx 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 |
|---|---|---|---|
terms | number | — | Number of terms (default 1000, max 1000000). |
Parameters from the server's own tool schema.
Why pi_approx is rated Low
This tool performs pure mathematical computation of pi approximations and compares algorithmic convergence rates. No data is created, modified, deleted, or persisted; no external systems are triggered; no financial transactions occur. It is purely a computational read/analysis operation with no blast radius if misused by an AI agent.
From the tool's definition Tool description states it 'Approximate[s] pi using Leibniz, Nilakantha, and Wallis formulas' and 'Compare[s] convergence rates.' These are mathematical calculations that retrieve or compute a value with no side effects, data modification, external…
Attacks that exploit this kind of access
The rule that runs pi_approx 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 pi_approx, this is the rule to start with:
pi_approx 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 pi_approx call is checked against it from then on.
Questions about pi_approx
Approximate pi using Leibniz, Nilakantha, and Wallis formulas. Compare convergence rates. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
pi_approx accepts 1 parameter: terms. 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 pi_approx: 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.
pi_approx 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 pi_approx 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 pi_approx. 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.
pi_approx 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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