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by c0h1b4

List User-Defined Functions

list_functions

Retrieve user-defined functions from a Microsoft SQL Server database, allowing filtering by schema and function type (scalar, table-valued, inline table-valued).

Instructions

List all user-defined functions (scalar, table-valued, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionStringNoSQL Server connection string (uses default if not provided)
connectionNameNoNamed connection to use (e.g., 'production', 'staging')
schemaNoSchema name (default: dbo)
functionTypeNoFilter by function type (default: ALL)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a list operation, implying read-only behavior, but doesn't disclose any behavioral traits such as permissions needed, rate limits, pagination, or what the output format looks like (e.g., list of names vs. detailed metadata). This is a significant gap for a tool with no annotation coverage.

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 with zero waste. It's appropriately sized and front-loaded, clearly stating the tool's purpose without unnecessary elaboration.

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, no output schema, and 4 parameters, the description is incomplete. It adequately states what the tool does but lacks crucial context like behavioral traits, output format, or usage guidelines, making it insufficient for an agent to fully understand how to invoke it correctly.

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 fully documents all 4 parameters. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain how connectionString vs. connectionName interact or default behaviors). Baseline 3 is appropriate when the schema does the heavy lifting.

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 resource ('user-defined functions') with specific types mentioned ('scalar, table-valued, etc.'). It distinguishes from siblings like list_tables or list_stored_procedures by focusing on functions, but doesn't explicitly differentiate from potential overlapping tools like list_user_defined_types.

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 versus alternatives is provided. The description doesn't mention prerequisites, context for usage, or comparison with sibling tools like describe_stored_procedure or execute_query that might relate to functions.

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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