mysql_list_databases
Retrieve a list of all available MySQL databases to view and manage database structures within your MySQL server environment.
Instructions
List all available databases
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a list of all available MySQL databases to view and manage database structures within your MySQL server environment.
List all available databases
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states a read operation ('List'), implying it's likely safe and non-destructive, but does not disclose behavioral traits such as permissions required, rate limits, output format, or whether it includes system databases. For a tool with zero annotation coverage, this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence ('List all available databases') that is front-loaded and wastes no words. It directly conveys the core purpose without unnecessary elaboration, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (0 parameters, no output schema), the description is minimally adequate. However, with no annotations and no output schema, it lacks details on behavioral aspects like return format or constraints. It meets basic needs but leaves gaps that could hinder effective use by an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so the schema fully documents the lack of inputs. The description adds no parameter information, which is appropriate here. Baseline for 0 parameters is 4, as the description need not compensate for missing param details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List all available databases' clearly states the verb ('List') and resource ('databases'), with 'all available' providing scope. It distinguishes from siblings like mysql_list_tables (tables vs databases) and mysql_describe_table (describe vs list), though not explicitly named. However, it lacks the specific sibling differentiation that would earn a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention siblings like mysql_list_tables for listing tables within a database or mysql_query for querying data, nor does it specify prerequisites or contexts for usage. This leaves the agent with minimal direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.