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rsp2k
by rsp2k

lb_get_configuration_summary

Retrieve a complete configuration summary for a Vultr load balancer by providing its ID or label. Get detailed settings and status in one view.

Instructions

Get a comprehensive configuration summary for a load balancer.

Args: load_balancer_id: The load balancer ID or label (e.g., "web-lb", "api-load-balancer", or UUID)

Returns: Detailed configuration summary

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
load_balancer_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

B3.2/5.0
Behavior2/5

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 says 'Get' which implies a read operation, but it does not explicitly state that it is read-only, does not mention any permissions or side effects, and does not describe the structure of the returned summary beyond 'Detailed configuration summary'. Since an output schema exists, the return type may be partially covered, but the description itself adds little behavioral 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 concise, with a clear one-line purpose followed by Args and Returns sections. It is front-loaded with the action, and every sentence adds value. There is no redundant information.

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

Completeness4/5

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

For a single-parameter read operation with an output schema, the description is fairly complete. It covers the parameter format and the general outcome. However, it does not specify what aspects of configuration are included (e.g., health checks, forwarding rules, SSL settings), which could help the agent determine if this is the right tool. Given the simplicity, this is a minor gap.

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 coverage is 0%, and the description compensates by explaining the parameter 'load_balancer_id' with examples ('web-lb', 'api-load-balancer', or UUID) and clarifies it can be an ID or label. This adds meaning beyond the raw string type. However, the explanation is brief and does not elaborate on any constraints or formats beyond the examples.

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 states a specific action ('Get a comprehensive configuration summary') on a specific resource (load balancer). It is clear in what it does, but it does not explicitly distinguish itself from the sibling tool 'lb_get', which likely also retrieves load balancer information. The name and wording imply a more detailed view, but this differentiation is not made explicit.

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?

No guidance is provided on when to use this tool versus alternatives like 'lb_get' or other load balancer tools. There is no mention of scenarios where this summary is preferred, or exclusions. The agent is left to infer its usage from the name and description.

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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