Low Risk

stock_data_query

Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schem...

Risk signalsAccepts freeform code/query input (query)

Part of the Shibui Finance server.

stock_data_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.

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AI agents call stock_data_query to retrieve information from Shibui Finance 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 stock_data_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": {
    "stock_data_query": {}
  }
}

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

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These attack patterns abuse exactly the kind of access stock_data_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 stock_data_query only ever does what you allow.

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

What does the stock_data_query tool do? +

Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.. It is categorised as a Read tool in the Shibui Finance MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stock_data_query? +

Register the Shibui Finance MCP server in PolicyLayer and add a rule for stock_data_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 Shibui Finance. Nothing to install.

What risk level is stock_data_query? +

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

Can I rate-limit stock_data_query? +

Yes. Add a rate_limit block to the stock_data_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 stock_data_query completely? +

Set action: deny in the PolicyLayer policy for stock_data_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 stock_data_query? +

stock_data_query is provided by the Shibui Finance MCP server (https://mcp.shibui.finance/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Shibui Finance tool call.

Deterministic rules across all 11 Shibui Finance tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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