string_lcs
Find the longest common subsequence of two strings with similarity score.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/string-lcs.md
What string_lcs does on UnClick
AI agents call string_lcs 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 |
|---|---|---|---|
a | string | Yes | First string. |
b | string | Yes | Second string. |
Parameters from the server's own tool schema.
Why string_lcs is rated Low
This tool performs a read-only string similarity computation. It takes two strings as input and returns the longest common subsequence and a similarity score. There are no side effects, data modifications, code execution, deletions, or financial implications. It is a straightforward computational utility that falls squarely into the Read category.
From the tool's definition Tool name 'string_lcs' and description 'Find the longest common subsequence of two strings with similarity score' indicate a pure string analysis operation that retrieves/computes a result without modifying any data or triggering external effects.
Attacks that exploit this kind of access
The rule that runs string_lcs 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 string_lcs, this is the rule to start with:
string_lcs 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 string_lcs call is checked against it from then on.
Questions about string_lcs
Find the longest common subsequence of two strings with similarity score. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
string_lcs accepts 2 parameters: a, b. Required: a, b. 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 string_lcs: 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.
string_lcs 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 string_lcs 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 string_lcs. 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.
string_lcs 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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