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list_appointments

Listet die als Termin erfassten Anruf-Ergebnisse dieses Tenants. Identisch zu GET /api/v1/appointments.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_appointments"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNo1-basierte Seitenzahl (Standard: 1).
limitNoEinträge pro Seite (Standard: 50, maximal 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. Equating the tool to GET /api/v1/appointments usefully signals a read-only, idempotent operation, and 'dieses Tenants' discloses implicit tenant scoping (no tenant parameter needed). It says nothing about result volume, pagination behavior, or what the records contain beyond the schema's page/limit fields.

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?

Two short sentences, front-loaded with the purpose and followed by the authoritative API equivalence. Zero filler.

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?

For a simple, no-required-parameter list tool with fully documented parameters, the description is nearly sufficient, but with no annotations and no output schema it leaves the read-only nature (only implied via GET) and the return shape unstated.

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% and both optional parameters (page, limit) are fully documented in the schema with defaults and bounds. The description adds no parameter-level meaning, so the baseline of 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?

States a specific verb (Listet) and resource (Termin-erfasste Anruf-Ergebnisse dieses Tenants), and the GET /api/v1/appointments reference pins the exact resource. It implicitly separates itself from list_outcomes by restricting to appointment-typed results, but never names the siblings to make the distinction 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 when-to-use, when-not-to-use, or alternative is given. With list_outcomes as a direct sibling that also returns outcome data, the choice between the two is left entirely to inference from the German phrase 'als Termin erfasst'.

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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