Low Risk

get_vector_data_by_range

Fetch time series data for a specific Statistics Canada vector. Returns actual data values over time for the specified vector. :param vector_id: The vector ID number (e.g., 41690973) :type vector_id: int :param start_date: Start date in YYYY-MM-DD format (e.g., 2020-01-01) ...

Single-target operation

Part of the Statistics Canada MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call get_vector_data_by_range to retrieve information from Statistics Canada 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_vector_data_by_range 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.

pranaviate-statscan-mcp.yaml
tools:
  get_vector_data_by_range:
    rules:
      - action: allow

See the full Statistics Canada policy for all 15 tools.

Tool Name get_vector_data_by_range
Category Read
Risk Level Low

View all 15 tools →

What does the get_vector_data_by_range tool do? +

Fetch time series data for a specific Statistics Canada vector. Returns actual data values over time for the specified vector. :param vector_id: The vector ID number (e.g., 41690973) :type vector_id: int :param start_date: Start date in YYYY-MM-DD format (e.g., 2020-01-01) :type start_date: str :param end_date: End date in YYYY-MM-DD format (e.g., 2024-01-01) :type end_date: str :return: Dictionary with time series data or error details :rtype: dict . It is categorised as a Read tool in the Statistics Canada MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_vector_data_by_range? +

Add a rule in your Intercept YAML policy under the tools section for get_vector_data_by_range. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Statistics Canada MCP server.

What risk level is get_vector_data_by_range? +

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

Can I rate-limit get_vector_data_by_range? +

Yes. Add a rate_limit block to the get_vector_data_by_range rule in your Intercept 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_vector_data_by_range completely? +

Set action: deny in the Intercept policy for get_vector_data_by_range. 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_vector_data_by_range? +

get_vector_data_by_range is provided by the Statistics Canada MCP server (pranaviate/statscan-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Statistics Canada

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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