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ConnorBritain

MSSQL MCP Reader

validate_environment_config

Validates environment configuration for correctness and security, checking required fields, authentication, policies, and secrets. Returns errors and warnings for each environment.

Instructions

Validates the environments.json configuration file for correctness and security best practices.

Checks include:

  • Required fields (name, server, database for database-level; name, server for server-level)

  • Valid authentication mode configuration

  • Policy consistency (e.g., readonly + allowedTools including write tools)

  • Secret placeholder syntax

  • Access level configuration validity

  • Tier designation consistency

Returns validation results for each environment with errors and warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
environmentNoSpecific environment name to validate. If omitted, validates all environments.
Behavior4/5

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

With no annotations, the description discloses the checks performed and the return type (errors and warnings). It does not mention side effects, but given the nature, it is likely read-only. No contradictions.

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 concise and well-structured: a clear purpose sentence, a bullet list of checks, and a closing sentence on return type. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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

Given no output schema, the description adequately describes the return (validation results with errors and warnings). All necessary information is covered: purpose, checks, parameter, and output.

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

Parameters4/5

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

The schema covers the parameter description (100% coverage). The description adds value by explaining behavior when parameter is omitted, enhancing understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool validates a configuration file for correctness and security best practices, listing specific checks. It effectively distinguishes itself from sibling tools which focus on database operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for configuration validation but does not explicitly state when to use versus alternatives or when not to use it. Sibling context clarifies its distinct role.

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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