Low Risk

get_data_source_schema

Fetch the column schema for a data source. Useful before asking run_analysis about specific columns. The schema is derived from the preprocessing metadata clariBI extracted when the source was last synced. Poll this after upload_data_source / ingest_url_data_source until the returned status flips...

Part of the clariBI server.

get_data_source_schema 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_data_source_schema to retrieve information from clariBI 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_data_source_schema 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_data_source_schema": {}
  }
}

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These attack patterns abuse exactly the kind of access get_data_source_schema 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_data_source_schema 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_data_source_schema tool do? +

Fetch the column schema for a data source. Useful before asking run_analysis about specific columns. The schema is derived from the preprocessing metadata clariBI extracted when the source was last synced. Poll this after upload_data_source / ingest_url_data_source until the returned status flips to "active" — that means preprocessing has finished and run_analysis will see the data.. It is categorised as a Read tool in the clariBI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_data_source_schema? +

Register the clariBI MCP server in PolicyLayer and add a rule for get_data_source_schema: 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 clariBI. Nothing to install.

What risk level is get_data_source_schema? +

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

Can I rate-limit get_data_source_schema? +

Yes. Add a rate_limit block to the get_data_source_schema 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_data_source_schema completely? +

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

get_data_source_schema is provided by the clariBI MCP server (https://claribi.com/mcp/v1/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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