duval_factorize
Compute the Lyndon factorization of a string using Duval's algorithm.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/duval-factorize.md
What duval_factorize does on UnClick
AI agents call duval_factorize 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 |
|---|---|---|---|
text | string | Yes | Input string to factorize (max 1,000,000 chars) |
Parameters from the server's own tool schema.
Why duval_factorize is rated Low
The tool performs string analysis using a well-known computer science algorithm (Duval's algorithm for Lyndon factorization). It retrieves/computes a result based on input data without modifying state, creating resources, executing arbitrary code, deleting data, or moving funds. This is a straightforward Read operation.
From the tool's definition Tool computes and returns the Lyndon factorization of a string input using Duval's algorithm. This is a pure computation/analysis operation with no side effects, data creation, modification, deletion, or external operations.
Attacks that exploit this kind of access
The rule that runs duval_factorize 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 duval_factorize, this is the rule to start with:
duval_factorize 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 duval_factorize call is checked against it from then on.
Questions about duval_factorize
Compute the Lyndon factorization of a string using Duval's algorithm. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
duval_factorize accepts 1 parameter: text. Required: text. 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 duval_factorize: 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.
duval_factorize 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 duval_factorize 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 duval_factorize. 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.
duval_factorize 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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