Vultr MCP

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

No annotations are provided, so the description carries the full burden. It states the tool deletes a forwarding rule, implying a destructive mutation, but does not disclose critical behavioral traits like required permissions, whether the deletion is irreversible, potential side effects (e.g., impact on traffic routing), or error handling. This leaves significant gaps for safe and effective use.

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

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

The description is well-structured and front-loaded with the core purpose, followed by clear sections for arguments and returns. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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

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

Given the tool's complexity as a destructive operation with no annotations and no output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks details on behavioral aspects, error cases, and the full implications of deletion, which are crucial for safe operation in a production environment.

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

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

The description adds meaningful context beyond the input schema, which has 0% description coverage. It clarifies that 'load_balancer_id' can be a label or UUID with examples ('web-lb', 'api-load-balancer'), and 'forwarding_rule_id' is the rule ID, compensating for the schema's lack of details. However, it does not fully explain parameter formats or constraints beyond basic examples.

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

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

The description clearly states the action ('Delete') and target resource ('a forwarding rule from a load balancer'), providing specific verb+resource pairing. However, it does not explicitly differentiate from sibling tools like 'delete_rule' or 'delete_record', which might handle different resource types, leaving some ambiguity about uniqueness.

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

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, such as when to delete a forwarding rule compared to modifying it or using other deletion tools for different resources. It lacks context about prerequisites, dependencies, or typical scenarios for invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.