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Glama

Zähler und Stände

list_meters
Read-only

Retrieve all meters for a property with their latest readings, or use a meter ID to get recent readings for a single meter.

Instructions

Die Zähler einer Immobilie mit ihrem neuesten Stand; mit meter_id die letzten Stände dieses Zählers.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "property_id": "<property_id>"
    },
    "name": "list_meters"
  }
}

Input Schema

NameRequiredDescriptionDefault
meter_idNonur dieser Zähler
property_idYesID der Immobilie, siehe Werkzeug list_properties

Output Schema

NameRequiredDescriptionDefault
noteNo
countYes
itemsYes
omittedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is known without the description. The description usefully adds that each meter comes with its latest reading and that meter_id narrows to that meter's recent readings, but says nothing about result limits, ordering, or how many 'letzte Stände' are returned.

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 semicolon-joined sentence that front-loads the primary behavior and then the meter_id variant. Every clause carries information; nothing is redundant.

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?

An output schema exists, so return-shape explanation is unnecessary, and annotations cover safety; the description covers both parameter modes for a two-parameter tool. The only gap is the unspecified cardinality/ordering of "die letzten Stände" when meter_id is supplied.

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 the parameters are already documented ("nur dieser Zähler", "ID der Immobilie, siehe Werkzeug list_properties"). The description adds a real semantic distinction the schema does not: without meter_id you get one latest reading per meter, with meter_id you get multiple prior readings, but it does not quantify that difference.

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 names a concrete resource ("Die Zähler einer Immobilie") and states the returned value ("mit ihrem neuesten Stand"), plus a second mode ("mit meter_id die letzten Stände dieses Zählers"). It is clearly a read/list operation over meters and readings, though it never names a sibling it is distinct from.

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

Usage Guidelines3/5

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

It implicitly conveys the two calling modes: pass only property_id to get the property's meters with latest readings, or add meter_id to drill into that meter's recent readings. There is no explicit when-to-use vs. alternatives (e.g., check_meter_reading or record_meter_reading) and no exclusions, so guidance is present but inferred.

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