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lm203688

redis-mcp-server

by lm203688

ping

Checks if the Redis server is reachable and responsive by sending a simple connectivity test.

Instructions

测试Redis连接是否正常

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The MCP tool handler for 'ping'. Decorated with @mcp.tool(), it calls db.ping() and returns the result as JSON.
    @mcp.tool()
    def ping() -> str:
        """测试Redis连接是否正常"""
        try:
            result = db.ping()
            return json.dumps(result, ensure_ascii=False, indent=2)
        except Exception as e:
            return json.dumps({"error": str(e)}, ensure_ascii=False)
  • The RedisConnection.ping() helper that executes the actual Redis PING command and returns connection status.
    def ping(self) -> dict[str, Any]:
        """测试Redis连接"""
        result = self._client.ping()
        return {"connected": result, "host": self.config.host, "port": self.config.port}
  • The tool is registered via @mcp.tool() decorator on the ping() function in server.py.
    @mcp.tool()
    def ping() -> str:
  • The ping tool takes no arguments and returns a string. No Pydantic schema is needed since it has no parameters.
    def ping() -> str:
        """测试Redis连接是否正常"""
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It only states the tool tests connection, but does not disclose any behavioral traits such as non-destructiveness, latency, or error handling. For a simple ping, this may be sufficient, but additional context would be helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence in Chinese, front-loaded with the action. No wasted words, appropriate for tool simplicity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and likely straightforward return (e.g., status), the description is adequately complete. An output schema exists, so return details are covered elsewhere.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters in schema; baseline for zero parameters is 4. Description does not need to add parameter information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool tests Redis connection health, with a specific verb 'test' and resource 'Redis connection'. It distinguishes itself from sibling tools which perform operations like get, set, scan, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives; however, the purpose is intuitive as a basic health check. Lacks mention of prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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