Low Risk

expand_query

Expand and rewrite search queries based on an up-to-date query expansion model. This tool takes an initial query and returns multiple expanded queries that can be used for more diversed and deeper searches. Useful for improving deep research results by searching broader and deeper.

Risk signalsAccepts freeform code/query input (query)

Part of the Jina Ai server.

expand_query is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE JINA AI →

Free to start. No card required.

AI agents call expand_query to retrieve information from Jina Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though expand_query only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "expand_query": {}
  }
}

See the full Jina Ai policy for all 22 tools.

Get this rule live on your own Jina Ai server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY JINA AI →

View all 22 tools →

These attack patterns abuse exactly the kind of access expand_query gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so expand_query only ever does what you allow.

SECURE JINA AI →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the expand_query tool do? +

Expand and rewrite search queries based on an up-to-date query expansion model. This tool takes an initial query and returns multiple expanded queries that can be used for more diversed and deeper searches. Useful for improving deep research results by searching broader and deeper.. It is categorised as a Read tool in the Jina Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on expand_query? +

Register the Jina Ai MCP server in PolicyLayer and add a rule for expand_query: 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.

What risk level is expand_query? +

expand_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit expand_query? +

Yes. Add a rate_limit block to the expand_query 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.

How do I block expand_query completely? +

Set action: deny in the PolicyLayer policy for expand_query. 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.

What MCP server provides expand_query? +

expand_query is provided by the Jina Ai MCP server (jina-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jina Ai tool call.

Deterministic rules across all 22 Jina Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.