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juhyungrok4237-boop

Veeam VBR v13 MCP Server

SendTestEmailMessage

Verify email notification settings in Veeam Backup & Replication by sending a test message to confirm delivery and configuration.

Instructions

Send a test email to verify email settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 the tool sends an email, implying a write/mutation operation, but doesn't disclose behavioral traits such as whether it requires specific permissions, what happens if email settings are invalid, if it's rate-limited, or what the expected outcome is (e.g., success/failure notification). The description is minimal and lacks critical operational context.

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 with the core action ('Send a test email') and purpose ('to verify email settings'), making it easy to parse. No unnecessary details or redundancy are present.

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 tool's complexity (a write operation with no annotations, no output schema, and 0 parameters), the description is incomplete. It doesn't explain what 'verify email settings' entails, what the tool returns (e.g., success status, error details), or any side effects. For a mutation tool, this lack of context leaves significant gaps for an agent.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter semantics, but that's acceptable given the empty schema. A baseline of 4 is appropriate since there are no parameters to explain, and the description doesn't mislead about inputs.

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

Purpose3/5

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

The description 'Send a test email to verify email settings' clearly states the verb ('Send') and resource ('test email'), but it's somewhat vague about the exact purpose. It doesn't specify what constitutes a 'test email' (e.g., content, recipient) or what 'verify email settings' means operationally. It distinguishes from most siblings by focusing on email verification, but lacks the specificity needed for a higher score.

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 prerequisites (e.g., email settings must be configured), when-not-to-use scenarios, or related tools (e.g., 'UpdateEmailSettings' for configuration). The agent must infer usage from the name alone, which is insufficient.

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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