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 of behavioral disclosure. It states the tool lists forwarding rules, implying a read-only operation, but does not disclose any behavioral traits such as pagination, rate limits, authentication requirements, error conditions, or what happens if the load balancer ID is invalid. For a tool with zero annotation coverage, this lack of detail is a significant gap, though it doesn't contradict any annotations.

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 appropriately sized and front-loaded, with the purpose stated clearly in the first sentence. The 'Args' and 'Returns' sections are structured for readability, though the 'Returns' section is vague ('List of forwarding rules'). There is no wasted text, but it could be slightly more detailed without losing conciseness.

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 (a list operation with one parameter), lack of annotations, and no output schema, the description is incomplete. It covers the basic purpose and parameter but misses key contextual details: no behavioral traits (e.g., pagination, errors), no usage guidelines, and minimal output information. For a tool in this context, it should provide more to be fully helpful to an AI agent.

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 includes an 'Args' section that explains the 'load_balancer_id' parameter as 'The load balancer ID or label (e.g., "web-lb", "api-load-balancer", or UUID)', adding meaning beyond the input schema (which only specifies type: string). With schema description coverage at 0%, this compensates somewhat, but it's minimal for the single parameter. The baseline is 3 because the schema does not describe the parameter, and the description provides basic but not comprehensive semantics (e.g., no format constraints or validation rules).

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 tool's purpose: 'List forwarding rules for a load balancer.' It specifies the verb ('List'), resource ('forwarding rules'), and scope ('for a load balancer'), making the action and target explicit. However, it does not differentiate from sibling tools like 'get_forwarding_rule' (singular) or 'list_firewall_rules', which might be similar in structure but target different resources, leaving room for minor ambiguity.

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. It does not mention prerequisites (e.g., needing a load balancer ID), exclusions (e.g., not for other resource types), or compare it to siblings like 'get_forwarding_rule' (which might retrieve a single rule) or other list tools. Usage is implied only by the tool name and description, with no explicit context or alternatives provided.

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