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Protokoll lesen

list_agent_log
Read-only

Was KI-Assistenten über diese Verbindung (oder alle Verbindungen der Lehrkraft) in classdesk getan haben – dasselbe Protokoll, das die Lehrkraft unter KI & Konto → Protokoll sieht: Zeit, Verbindung, Werkzeug, Klartext, Erfolg/Fehler und history_id, wenn sich die Änderung mit undo_change zurücknehmen lässt. Lesende Aufrufe sind zusammengefasst.

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_agent_log"
  }
}

Input Schema

NameRequiredDescriptionDefault
areaNo
daysNoZeitraum in Tagen, Standard 7
limitNoStandard 30
errors_onlyNo
all_connectionsNotrue = alle Verbindungen der Lehrkraft (und des Kollegiums in geteilten Klassen), Standard nur diese

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: reads are summarized/aggregated, entries include plaintext and success/error, and history_id signals undo eligibility. It stops short of noting pagination or ordering, keeping it at 4.

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?

A single front-loaded sentence that names the resource first, then enumerates what each entry contains. Dense but every clause (fields list, undo_change link, read-call aggregation) adds information, so it earns its length.

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?

With no output schema, the description steps in to enumerate the return fields (time, connection, tool, plaintext, success/error, history_id) and notes that reads are summarized. For a read-only log tool with five optional params, this is complete enough to call correctly.

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 60% — days, limit, and all_connections carry descriptions, but area (a 12-value enum) and errors_only have no schema or description explanation. The description adds no parameter meaning, so it neither compensates for the gap nor benefits from full coverage; 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 description states a specific resource (the AI-assistant action log) and grounds it in a concrete UI location (KI & Konto → Protokoll) with the exact fields returned. It is clear what the tool does, but it does not name or distinguish itself from the plausible sibling list_history, leaving the agent to infer the difference.

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?

Usage is implied: it reveals history_id values that support undo_change, which hints at a review-then-undo workflow. However, there is no explicit when-to-use/when-not guidance and no mention of how this differs from list_history or list_absences-style 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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