baby_giant_step
Solve the discrete logarithm problem (find x such that base^x = target mod modulus) using baby-step giant-step.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/baby-giant-step.md
What baby_giant_step does on UnClick
AI agents invoke baby_giant_step 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 |
|---|---|---|---|
base | number | Yes | Base of the exponentiation |
target | number | Yes | Target value |
modulus | number | Yes | Modulus (max 1,000,000,000) |
Parameters from the server's own tool schema.
Why baby_giant_step is rated High
The tool performs a computation (baby-step giant-step algorithm) to solve a discrete logarithm problem. It executes a mathematical procedure rather than reading stored data, writing/modifying data, or performing destructive/financial actions. The blast radius is low as it is purely computational with no side effects on external systems.
From the tool's definition 'Solve the discrete logarithm problem... using baby-step giant-step' — this tool executes a mathematical algorithm/computation
Attacks that exploit this kind of access
The rule that runs baby_giant_step 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 baby_giant_step, this is the rule to start with:
baby_giant_step 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 baby_giant_step call is checked against it from then on.
Questions about baby_giant_step
Solve the discrete logarithm problem (find x such that base^x = target mod modulus) using baby-step giant-step. 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.
baby_giant_step accepts 3 parameters: base, target, modulus. Required: base, target, modulus. 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 baby_giant_step: 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.
baby_giant_step 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 baby_giant_step 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 baby_giant_step. 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.
baby_giant_step 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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