This record as markdown: /tools/deloc-mcp/bigquery-list-tables.md
What bigquery_list_tables does on Deloc
AI agents call bigquery_list_tables to retrieve information from Deloc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why bigquery_list_tables is rated Low
This is a Read operation—it queries and retrieves data (table metadata) with no side effects. Severity is medium rather than low because BigQuery access can expose schema information that reveals business-sensitive data structures, datasets, or naming patterns that could inform further attacks or data exfiltration attempts.
From the tool's definition Tool name 'bigquery_list_tables' and description 'List the tables in a BigQuery dataset' indicate a query/list operation that retrieves metadata about BigQuery tables without modifying them.
Attacks that exploit this kind of access
The rule that runs bigquery_list_tables safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deloc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bigquery_list_tables, this is the rule to start with:
bigquery_list_tables is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Deloc, apply this rule, and every bigquery_list_tables call is checked against it from then on.
Questions about bigquery_list_tables
List the tables in a BigQuery dataset. It is categorised as a Read tool in the Deloc MCP Server, which means it retrieves data without modifying state.
Register the Deloc MCP server in PolicyLayer and add a rule for bigquery_list_tables: 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 Deloc. Nothing to install.
bigquery_list_tables is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the bigquery_list_tables 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.
Set action: deny in the PolicyLayer policy for bigquery_list_tables. 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.
bigquery_list_tables is provided by the Deloc MCP server (delocdev/deloc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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