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Glama

beispiel laden

beispiel_laden

Creates a fictional sample case in your legal case file so you can try the system without real client data. Only writes after you explicitly confirm the call.

Instructions

SCHREIBT IN DIE AKTE. Die mitgelieferte Beispielakte (erfundener Fall) als neuen Fall anlegen, zum Ausprobieren. Der Fall bekommt die nächste freie Kennung. Nur mit bestaetigt=true nach Rückfrage beim Nutzer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bestaetigtNoNur true, wenn der Nutzer genau diesen Aufruf mit diesen Parametern ausdrücklich bestätigt hat. Ohne true wird nichts geändert; die Antwort enthält dann die Rückfrage.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare that this is a write operation (readOnlyHint=false) and non-destructive. The description adds the uppercase warning 'SCHREIBT IN DIE AKTE', the next-free-identifier assignment, and the user-confirmation requirement. It does not detail persistence or permission requirements beyond that, but the added confirmation workflow is meaningful.

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?

Three short sentences, front-loaded with a strong warning, with no wasted words. Every sentence adds distinct information: side effect, purpose, identifier behavior, and confirmation condition.

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?

Complete enough for a one-parameter mutation tool: purpose, side effect, identifier behavior, and confirmation workflow are stated. Only the return value or response shape is left unspecified, which is minor since no output schema exists.

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 single 'bestaetigt' parameter is fully documented in the schema itself. The description repeats the confirmation condition but adds no syntax or format detail beyond what the schema already provides, so the 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?

States a specific verb and resource: it creates the supplied example case (fictional) as a new case, for testing, and assigns the next free identifier. It implicitly distinguishes itself from the generic 'fall_anlegen' sibling through 'Beispielakte' and 'zum Ausprobieren', but does not name an alternative tool explicitly.

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?

Gives clear usage context ('zum Ausprobieren') and a hard precondition: only with bestaetigt=true after asking the user. No explicit alternative tool is named, but the confirmation gate and testing purpose make the intended usage clear.

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