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List Tables in Database

mysql_list_tables
Read-onlyIdempotent

List all tables in a MySQL database. Optionally specify the database and choose response format: Markdown or JSON.

Instructions

List all tables in a MySQL database.

Args:

  • database (string, optional): Database name. Uses MYSQL_DATABASE if omitted.

  • response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns:

  • markdown: formatted table list

  • json: { database: string, tables: string[], count: number }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNoDatabase name (uses MYSQL_DATABASE env var if omitted)
response_formatNoOutput format: 'markdown' or 'json'markdown
Behavior4/5

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

Annotations already confirm read-only, non-destructive, idempotent behavior. The description adds context about optional database with env var fallback and return format details, which enrich transparency beyond annotations.

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 concise with two sentences and a structured args/returns list, front-loading the purpose with no wasted words.

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?

The description covers purpose, parameters, and return format well for a simple tool. Lacks guidance on when to use alternatives, but otherwise complete given annotations and schema.

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?

Schema coverage is 100%, but description adds value by specifying the return structure for both markdown and json formats, which is not present in the schema (no output schema).

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 a MySQL database,' using a specific verb and resource that distinguishes it from sibling tools like mysql_describe_table or mysql_query.

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?

The description implies usage for listing tables but does not explicitly state when to use this tool versus alternatives, such as when to use mysql_describe_table for details.

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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