Classify texts into user-defined labels using Jina embeddings. Use this when you need to categorize, tag, or sort text content into predefined categories. Perfect for sentiment analysis, topic classification, content moderation, or any text categorization task.
AI agents call classify_text 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 |
|---|---|---|---|
model | string | — | Model to use for classification (default: jina-embeddings-v5-text-small) |
texts | array | — | Array of text strings to classify (e.g., ['I love this product', 'terrible experience']) |
labels | array | — | Array of classification labels (e.g., ['positive', 'negative', 'neutral']) |
Parameters from the server's own tool schema.
The tool retrieves an embedding-based classification result from provided text without modifying data, executing arbitrary code, or triggering external operations. It is purely analytical, making it a Read operation. Low severity because misuse would only result in incorrect classifications without affecting data integrity or system state.
From the tool's definition Tool description states it 'classify texts into user-defined labels' and performs 'categorize, tag, or sort text content' — these are analysis and categorization operations with no modification, deletion, or execution of external code.
Documented attack patterns abuse exactly the kind of access classify_text 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 classify_text:
{
"version": "1",
"default": "deny",
"tools": {
"classify_text": {}
}
}classify_text is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Classify texts into user-defined labels using Jina embeddings. Use this when you need to categorize, tag, or sort text content into predefined categories. Perfect for sentiment analysis, topic classification, content moderation, or any text categorization task. It is categorised as a Read tool in the Jina AI MCP Server, which means it retrieves data without modifying state.
classify_text accepts 3 parameters: model, texts, labels. 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 classify_text: 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.
classify_text 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 classify_text 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 classify_text. 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.
classify_text 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.