get_table_count

统计表中的记录总数

Server PySqlitMCP python51888/pysqlitmcp
Category Read
Risk class Low
Parameters 00 required

What get_table_count does on PySqlitMCP

AI agents call get_table_count to retrieve information from PySqlitMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_table_count needs a policy

The tool performs a simple aggregation query to retrieve record counts from a table. This is a passive data retrieval operation with no side effects, no data modification, and no irreversible actions. It falls squarely into the Read category, appropriate for low severity due to minimal blast radius if misused by an agent.

From the tool's definition Tool name is 'get_table_count' and description indicates it 'counts total records in a table' (统计表中的记录总数). This is a read-only query operation that retrieves aggregate count information without modifying any data.

Questions about get_table_count

What does the get_table_count tool do? +

统计表中的记录总数. It is categorised as a Read tool in the PySqlitMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_table_count? +

Register the PySqlit MCP server in PolicyLayer and add a rule for get_table_count: 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 PySqlitMCP. Nothing to install.

What risk level is get_table_count? +

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

Can I rate-limit get_table_count? +

Yes. Add a rate_limit block to the get_table_count 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_table_count completely? +

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

get_table_count is provided by the PySqlit MCP server (python51888/pysqlitmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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