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List managed load balancers

upcloud_list_load_balancers
Read-only

Managed Load Balancer services with their frontends, backends and members, networks, plan, zone, configured status and operational state. UpCloud: GET /1.3/load-balancer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoLabel filters: a key (`env`) or key=value (`env=prod`). Several are ANDed. Keys match case-insensitively.
limitNoMax entries to return, 0-100 (API default 10).
offsetNoOffset into the results (API default 0).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safe read nature is covered. The description usefully adds what the listing contains (frontends, backends, members, networks, plan, zone, status) and the underlying endpoint. However, it does not disclose pagination defaults or result-size behavior beyond what the schema states.

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

Conciseness4/5

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

Two compact sentences: the resource content is front-loaded and the endpoint follows. No filler or redundancy, though the endpoint reference is arguably decorative for an agent.

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?

With no output schema, the description carries the burden of describing returns and does so by enumerating the included components. Given a simple 3-param read-only list tool, this is reasonably complete, though it omits any usage context.

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?

Schema description coverage is 100%, so label, limit, and offset are fully documented in the schema. The description adds nothing about parameter semantics, so the baseline 3 applies.

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 title plus description make clear this lists managed load balancer services and even enumerates the returned sub-resources (frontends, backends, members, networks). It is a noun-phrase description with no explicit verb, but the resource is unambiguous. It does not distinguish itself from any sibling via description text.

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 gives no when-to-use guidance, no prerequisites, and names no alternatives. An agent gets no signal about when this list tool is preferred over other options or how it relates to the create/get siblings.

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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