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ajkeast

My Coding Buddy MCP Server

by ajkeast

list_tables

Get a complete list of all table names in the current database, formatted one per line, for exploring database schema.

Instructions

List all tables in the current database.

Returns: str: A formatted string containing all table names, one per line

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The `list_tables` method on the `SQLTools` class executes the actual tool logic: it opens a MySQL connection, runs 'SHOW TABLES', fetches results, and returns table names as a newline-separated string.
    def list_tables(self) -> str:
        """List all tables in the current database.
        
        Returns:
            str: A formatted string containing all table names, one per line
        """
        with self.get_connection() as conn:
            cursor = conn.cursor()
            cursor.execute("SHOW TABLES")
            tables = [table[0] for table in cursor.fetchall()]
            return "\n".join(tables)
  • server.py:12-12 (registration)
    The `list_tables` method is registered as an MCP tool via `mcp.tool()(sql_tools.list_tables)`, making it available as a named tool in the MCP server.
    mcp.tool()(sql_tools.list_tables)
Behavior3/5

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

No annotations are provided. The description discloses the return format (string of table names) but does not mention additional behavioral traits like read-only nature, error handling, or database selection requirements.

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?

The description is extremely concise with only two short sentences, no redundancy, and front-loaded purpose.

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

Completeness5/5

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

For a zero-parameter tool with simple behavior and explicit return type, the description provides complete information. No additional details are necessary.

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?

There are no parameters, and schema description coverage is 100%. The description adds no param info, but the baseline for zero parameters is 4.

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 'List all tables in the current database', which is a specific verb and resource. It distinguishes from sibling tools like list_columns or get_table_schema.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like search_tables or get_table_schema. While the tool is simple, explicit usage context would help.

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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