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c0h1b4
by c0h1b4

Analyze Check Constraints

analyze_check_constraints

Extract and analyze business rules from SQL Server check constraints to understand data validation requirements and maintain database integrity.

Instructions

Extract and analyze business rules from check constraints

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)
tableNameNoFilter by specific table name
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'extract and analyze', implying a read-only operation, but doesn't specify if it requires specific permissions, what the analysis entails (e.g., output format, depth), or any rate limits. This is a significant gap for a tool with potential complexity.

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 front-loaded and directly states the tool's purpose without unnecessary elaboration, making it easy to parse quickly.

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 the complexity of analyzing business rules from check constraints, no annotations, and no output schema, the description is incomplete. It doesn't explain what the analysis outputs (e.g., a report, summary, or detailed breakdown), leaving the agent uncertain about the tool's behavior and results.

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?

The schema description coverage is 100%, so the schema already documents all 4 parameters with clear descriptions. The description adds no additional meaning beyond what's in the schema, such as explaining how parameters 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 verb 'extract and analyze' and the resource 'business rules from check constraints', making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_constraints' or 'list_default_constraints', which might also involve constraints but with different scopes or outputs.

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. It doesn't mention when to choose it over siblings like 'list_constraints' (which might list constraints without analysis) or 'analyze_database_size' (which focuses on size metrics), leaving the agent to infer usage from context alone.

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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