Skip to main content
Glama
lazyants
by lazyants

Add Load Balancer Target

hetzner_add_lb_target

Add a server, label selector, or IP target to a load balancer to distribute traffic.

Instructions

Add a target (server, label selector, or IP) to a load balancer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesResource ID
typeYesTarget type
serverNoServer target
label_selectorNoLabel selector target
ipNoIP target
use_private_ipNoUse private IP for the target
Behavior2/5

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

Beyond annotations (readOnlyHint=false, openWorldHint=true), the description adds no behavioral details such as idempotency, side effects of adding an existing target, or mutation behavior. It does not contradict annotations but provides minimal additional transparency.

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?

A single, well-structured sentence that is front-loaded and precisely conveys the tool's function with no wasted words.

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

Completeness3/5

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

While the schema fully documents parameters, there is no output schema or description of return values. For a moderately complex tool with nested objects, the description is complete regarding input but lacks context on what happens after adding a target (e.g., success/failure indications).

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 coverage is 100%, so the schema already documents all parameters. The description only lists target types parenthetically, adding no additional semantic meaning beyond what is in the schema. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb 'Add', the resource 'a target (server, label selector, or IP)', and the context 'to a load balancer'. It effectively distinguishes from sibling tools like 'hetzner_add_lb_service' which adds a service to a load balancer.

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 on when to use this tool versus alternatives or prerequisites (e.g., the load balancer must exist). With many sibling tools, this lack of context could lead to incorrect tool selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lazyants/hetzner-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server