Get top-k semantically unique strings from a list using Jina embeddings and submodular optimization. Use this when you have many similar strings and want to select the most diverse subset that covers the semantic space. Perfect for removing duplicates, selecting representative samples, or finding...
AI agents call deduplicate_strings to retrieve information from Jina AI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
k | number | — | Number of unique strings to return. If not provided, automatically finds optimal k by looking at diminishing return |
strings | array | — | Array of strings to deduplicate |
Parameters from the server's own tool schema.
This tool retrieves and processes data (deduplication/selection from an input list) without modifying, deleting, or executing external operations. It is purely analytical - it computes semantic similarity and returns a filtered subset. No data is written, deleted, or altered in any persistent storage, and no external commands or financial transactions are involved.
From the tool's definition Tool performs analysis and selection on provided strings using 'Jina embeddings and submodular optimization' to 'select the most diverse subset' - a computational filtering operation with no mutation, deletion, or side effects on external systems.
Documented attack patterns abuse exactly the kind of access deduplicate_strings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jina AI, and nothing reaches the server without passing your rules. This is the rule we recommend for deduplicate_strings:
{
"version": "1",
"default": "deny",
"tools": {
"deduplicate_strings": {}
}
} deduplicate_strings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get top-k semantically unique strings from a list using Jina embeddings and submodular optimization. Use this when you have many similar strings and want to select the most diverse subset that covers the semantic space. Perfect for removing duplicates, selecting representative samples, or finding diverse content. It is categorised as a Read tool in the Jina AI MCP Server, which means it retrieves data without modifying state.
deduplicate_strings accepts 2 parameters: k, strings. The full parameter table on this page comes from the server's own tool schema.
Register the Jina AI MCP server in PolicyLayer and add a rule for deduplicate_strings: 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 Jina AI. Nothing to install.
deduplicate_strings 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 deduplicate_strings 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 deduplicate_strings. 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.
deduplicate_strings is provided by the Jina AI MCP server (jina). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jina AI, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 Jina AI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.