power_iteration
Find the dominant eigenvalue and eigenvector of a square matrix via power iteration.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/power-iteration.md
What power_iteration does on UnClick
AI agents call power_iteration 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 |
|---|---|---|---|
matrix | array | Yes | Square NxN matrix |
tolerance | number | — | Convergence tolerance (default 1e-10) |
max_iterations | number | — | Max iterations (default 1000) |
Parameters from the server's own tool schema.
Why power_iteration is rated Low
Power iteration is a pure mathematical algorithm that reads matrix input and returns computed eigenvalues/eigenvectors. It does not create, modify, delete, execute external commands, or commit financial actions. The operation is deterministic and read-only with respect to any persistent state.
From the tool's definition Tool performs numerical computation ('Find the dominant eigenvalue and eigenvector') on input data with no side effects, data modification, or external system interaction.
Attacks that exploit this kind of access
The rule that runs power_iteration 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 power_iteration, this is the rule to start with:
power_iteration 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 power_iteration call is checked against it from then on.
Questions about power_iteration
Find the dominant eigenvalue and eigenvector of a square matrix via power iteration. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
power_iteration accepts 3 parameters: matrix, tolerance, max_iterations. Required: matrix. 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 power_iteration: 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.
power_iteration 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 power_iteration 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 power_iteration. 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.
power_iteration 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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