Low Risk

get_series

Fetch observations for one or more Argentine time series by id (ids come from search_series). Data is official Argentine statistics; titles are in Spanish. Pass multiple comma-separated ids to align several series on the same dates. Use collapse to resample (e.g. monthly→yearly avg) and represent...

Part of the Datos Ar server.

get_series 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 get_series to retrieve information from Datos Ar 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 get_series 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": {
    "get_series": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_series 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 get_series tool do? +

Fetch observations for one or more Argentine time series by id (ids come from search_series). Data is official Argentine statistics; titles are in Spanish. Pass multiple comma-separated ids to align several series on the same dates. Use collapse to resample (e.g. monthly→yearly avg) and representation_mode to transform values (e.g. percent change vs a year ago). Returns rows of [date, value, ...] plus metadata.. It is categorised as a Read tool in the Datos Ar MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_series? +

Register the Datos Ar MCP server in PolicyLayer and add a rule for get_series: 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 Datos Ar. Nothing to install.

What risk level is get_series? +

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

Can I rate-limit get_series? +

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

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

get_series is provided by the Datos Ar MCP server (https://gateway.pipeworx.io/datos-ar/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Datos Ar tool call.

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

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