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binomial_probability

Calculate binomial distribution probability P(X=k) and cumulative probabilities for n trials with probability p.

SERVERUnClick SOURCE@unclick/mcp-server
Low RISK CLASS
Category Read
Parameters 33 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/binomial-probability.md

What binomial_probability does on UnClick

AI agents call binomial_probability 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.

ParameterTypeRequiredDescription
k number Yes Number of successes (0 to n).
n number Yes Number of trials (0-1000).
p number Yes Probability of success per trial (0 to 1).

Parameters from the server's own tool schema.

Why binomial_probability is rated Low

This is a statistical calculator that performs mathematical computations on provided parameters and returns results. It has no capability to modify data, execute arbitrary code, access external systems, delete information, or commit financial transactions. The function is deterministic and read-only in nature, making it the lowest-risk category.

From the tool's definition Tool name 'binomial_probability' and description indicate it 'Calculate[s] binomial distribution probability P(X=k) and cumulative probabilities for n trials with probability p' — a pure mathematical computation that retrieves or derives statistical values…

Questions about binomial_probability

What does the binomial_probability tool do? +

Calculate binomial distribution probability P(X=k) and cumulative probabilities for n trials with probability p. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.

What parameters does binomial_probability accept? +

binomial_probability accepts 3 parameters: k, n, p. Required: k, n, p. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on binomial_probability? +

Register the UnClick MCP server in PolicyLayer and add a rule for binomial_probability: 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.

What risk level is binomial_probability? +

binomial_probability is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit binomial_probability? +

Yes. Add a rate_limit block to the binomial_probability 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.

How do I block binomial_probability completely? +

Set action: deny in the PolicyLayer policy for binomial_probability. 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.

What MCP server provides binomial_probability? +

binomial_probability 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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