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list_group_addresses

Retrieve parsed KNX group addresses with classification, filter by category, kind, or missing DPTs, and page through results in stable order.

Instructions

List parsed group addresses with classification, in a stable order.

Filters: category (lighting/shutter/hvac/sensor/scene/energy/diagnostics),
kind (command/status/sensor), missing_dpt_only.

Paging: results are always sorted by the group address itself (main/middle/sub
numerically, free-style addresses numerically, anything else lexically), so the
order does not depend on how the project happened to parse and a retry returns
the same page. Pass the returned `next_cursor` back as `cursor` for the next
page; `next_cursor` is null on the last page. `total_matched` reports how many
addresses match the filters, so a truncated answer is never silent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
limitNo
cursorNo
categoryNo
missing_dpt_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv0.8.2
    • addedInput schema / properties / cursor
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Cursor"
      +}
    • addedOutput schema / additionalProperties
      Added value: +true
    • removedOutput schema / properties
      Removed value: -{
      -  "result": {
      -    "items": {
      -      "additionalProperties": true,
      -      "type": "object"
      -    },
      -    "title": "Result",
      -    "type": "array"
      -  }
      -}
    • removedOutput schema / required
      Removed value: -[
      -  "result"
      -]
    • changedOutput schema / title
      Previous value: -"list_group_addressesOutput"New value: +"list_group_addressesDictOutput"
  2. First observedv0.1.0

TDQS

A4.7/5.0
Behavior5/5

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

There are no annotations, so the description carries the full behavioral burden. It goes well beyond the minimum by disclosing stable ordering rules, exact sort behavior per address type, cursor handling, the meaning of next_cursor and total_matched, and the fact that truncation is never silent. This is rich, concrete, and directly useful for correct invocation and result interpretation.

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 well organized: a one-line purpose, a compact filter list, and a focused paging paragraph. Every sentence carries useful information, and the most important differentiation (stable order) is front-loaded. The length is justified by the behavioral details provided.

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

Completeness5/5

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

For a filtered-list tool with an output schema and no annotations, the description is complete: it explains filtering, ordering, paging, cursor lifecycle, and non-silent truncation. Nothing necessary for an agent to call or interpret the tool is missing.

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

Parameters4/5

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

The input schema has 0% description coverage, so the description must compensate. It explicitly enumerates accepted values for category and kind, explains cursor semantics via next_cursor, and clarifies missing_dpt_only as a filter. The meaning of limit is not elaborated, but its default and the paging context make it adequately inferable. This is strong compensation, though not exhaustive.

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 uses a specific verb and resource: 'List parsed group addresses with classification'. It immediately conveys the main output and the stable-order guarantee, which clearly distinguishes this tool from siblings like generate_ets_group_addresses or get_devices. The purpose is unambiguous and actionable.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly establishes when to use this tool: to list group addresses with filtering by category, kind, or missing DPT, and to page through results. It does not explicitly name alternatives or say when not to use it, but the filter and paging context is clear enough for an agent to select it appropriately.

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