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SQL Server MCP

by millelog

list_views

List database views by schema or name pattern to discover table structures. Use filters to narrow results.

Instructions

List all views in a database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNoDatabase name
schemaNoFilter by schema name
name_patternNoFilter views by name pattern
Behavior2/5

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

With no annotations, the description carries the full burden. It only states 'List all views' without disclosing any behavioral traits (e.g., read-only nature, pagination, return format, or effect of filters). The minimal text adds no behavioral context beyond the function name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—a single sentence with no redundant words. However, it is so minimal that it borders on under-specification, lacking any structural elements like bullet points or context that would improve clarity.

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?

The tool has three optional filters and no output schema, yet the description does not explain how filters interact, what the return format is, or any edge cases. For a simple listing tool, more context is needed to ensure correct usage.

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 schema already documents all three parameters. The description adds no additional meaning to the parameters beyond what the schema provides, earning a baseline score of 3.

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 action ('List') and the resource ('all views in a database'), making the tool's purpose unambiguous. However, it does not differentiate from sibling tools like list_tables or list_functions, which follow the same pattern.

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 usage guidance is provided. The description does not specify when to use this tool over alternatives such as get_view_definition or list_tables, nor does it mention any prerequisites or exclusions.

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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