jaccard_similarity
Calculate Jaccard similarity index between two texts (word or character level).
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/jaccard-similarity.md
What jaccard_similarity does on UnClick
AI agents call jaccard_similarity 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 |
|---|---|---|---|
mode | string | — | 'word' (default) or 'character'. |
text_a | string | Yes | First text. |
text_b | string | Yes | Second text. |
Parameters from the server's own tool schema.
Why jaccard_similarity is rated Low
Jaccard similarity is a read-only statistical computation that analyzes input texts and returns a numerical result. It has no side effects, does not modify data, does not execute code or commands, and does not commit any irreversible changes. This is purely a data analysis/retrieval function.
From the tool's definition Tool name and description indicate it 'Calculate[s] Jaccard similarity index between two texts' — a mathematical comparison operation that retrieves or computes a metric without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs jaccard_similarity 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 jaccard_similarity, this is the rule to start with:
jaccard_similarity 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 jaccard_similarity call is checked against it from then on.
Questions about jaccard_similarity
Calculate Jaccard similarity index between two texts (word or character level). It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
jaccard_similarity accepts 3 parameters: mode, text_a, text_b. Required: text_a, text_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 jaccard_similarity: 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.
jaccard_similarity 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 jaccard_similarity 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 jaccard_similarity. 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.
jaccard_similarity 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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