Low Risk

query_production

Query monthly oil, gas, and water production data from Argentine hydrocarbon wells. Data covers 2006-present with ~18M records. Can be filtered and grouped by basin, company, geological formation, and time period.

Part of the Energetica — Argentine Oil & Gas Data server.

query_production 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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Free to start. No card required.

AI agents call query_production to retrieve information from Energetica — Argentine Oil & Gas Data 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 query_production 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": {
    "query_production": {}
  }
}

See the full Energetica — Argentine Oil & Gas Data policy for all 8 tools.

Get this rule live on your own Energetica — Argentine Oil & Gas Data 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 query_production 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 query_production only ever does what you allow.

SECURE ENERGETICA — ARGENTINE OIL & GAS DATA →

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

What does the query_production tool do? +

Query monthly oil, gas, and water production data from Argentine hydrocarbon wells. Data covers 2006-present with ~18M records. Can be filtered and grouped by basin, company, geological formation, and time period.. It is categorised as a Read tool in the Energetica — Argentine Oil & Gas Data MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_production? +

Register the Energetica — Argentine Oil & Gas Data MCP server in PolicyLayer and add a rule for query_production: 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 Energetica — Argentine Oil & Gas Data. Nothing to install.

What risk level is query_production? +

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

Can I rate-limit query_production? +

Yes. Add a rate_limit block to the query_production 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 query_production completely? +

Set action: deny in the PolicyLayer policy for query_production. 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 query_production? +

query_production is provided by the Energetica — Argentine Oil & Gas Data MCP server (https://energetica.ar/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Energetica — Argentine Oil & Gas Data tool call.

Deterministic rules across all 8 Energetica — Argentine Oil & Gas Data 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.

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