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yangfeng20

dynamic-db-mcp-server

by yangfeng20

list_tables

Retrieve tables in a database with row count, size, engine, and comment for quick structural analysis.

Instructions

List tables in a database with row count and size.

Args: instance_id: The instance name from register_instance. database: The database name to list tables from.

Returns: JSON array of {table, rows, size_mb, engine, comment}, or error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYes
instance_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description carries the transparency burden. It states the return format and hints that instance_id comes from register_instance, implying a prerequisite. However, it does not disclose potential side effects, performance considerations, or error cases.

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 no wasted words. It front-loads the purpose and structures arguments and returns in a clear, scannable format.

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 the existence of an output schema (indicated by context), the description need not detail return values. It provides a good summary of the return structure and covers the key behavior. Minor gaps: no mention of ordering, pagination, or error conditions.

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

Parameters5/5

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

Schema coverage is 0%, so the description must explain parameters. It does so concisely: 'instance_id: The instance name from register_instance. database: The database name to list tables from.' Both parameters are fully described.

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

Purpose4/5

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

The description clearly states 'List tables in a database with row count and size', providing a specific verb and resource. It distinguishes from siblings like 'execute_sql' and 'get_table_detail' by implying a broad listing, but does not explicitly differentiate.

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 vs alternatives. The description does not mention when it is appropriate or inappropriate, nor does it reference sibling tools.

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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