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c0h1b4
by c0h1b4

List Databases

list_databases

Retrieve all database names from a Microsoft SQL Server instance to manage connections and identify available data sources.

Instructions

List all databases available on the SQL Server instance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionStringNoSQL Server connection string (uses default if not provided)
connectionNameNoNamed connection to use (e.g., 'production', 'staging')
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it lists databases but doesn't mention whether this requires specific permissions, what the output format looks like (e.g., list of names, details), if it's paginated, or if it includes system databases. For a read operation with zero annotation coverage, this leaves significant gaps.

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 a single, efficient sentence that front-loads the core purpose ('List all databases...'). There is no wasted verbiage or redundant information, 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.

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete for a tool with 2 parameters. It doesn't explain what 'available' means (e.g., accessible vs. all), the return format, or error conditions. For a database listing tool in a complex SQL environment, more context is needed to guide effective use.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already fully documents both parameters (connectionString and connectionName). The description adds no additional parameter semantics beyond what's in the schema, such as examples or constraints. Baseline 3 is appropriate when the schema does all the work.

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 the verb ('List') and resource ('all databases available on the SQL Server instance'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_tables', 'list_views', or 'list_connections', which also list resources but at different granularities.

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?

The description provides no guidance on when to use this tool versus alternatives. For example, it doesn't mention whether this is for inventory purposes, connection validation, or as a prerequisite for other operations like 'analyze_database_size'. No exclusions or prerequisites are stated.

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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