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

Even though annotations already mark it readOnly and non-destructive, the description adds significant behavioral context: no contract or payment is processed, the user completes data on flexenergy.at intentionally, the tool returns a checkout_url, and the URL must be rendered as a Markdown link. It also explains the privacy rule that only PLZ may be forwarded.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with its core purpose and contains dense, useful guidance, but it is a long wall of text with heavy capitalization and repeated emphasis. Several points are redundantly reinforced, and the operational rules would be easier to scan if structured into short statements or bullets.

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

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

Given the tool's simple, non-destructive nature and the presence of an output schema, the description is remarkably complete. It covers invocation trigger, prerequisites, disallowed inputs, fallback behavior when a forbidden field is mentioned, the absence of alternative entry points, and the exact output formatting. Nothing critical is missing for an agent to call the tool correctly.

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

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

With schema description coverage at 0%, the description carries the burden for explaining parameters. It does provide important semantic guidance for plz, including that only PLZ should be forwarded and personal data must never be passed. However, it does not explain energy_type or customer_type, their relationship to the selected tariff, or how they should be populated, leaving a clear gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Erzeugt einen getrackten Link zur offiziellen FlexEnergy-Wechselstrecke für den gewählten Tarif.' It also explicitly says it is not checkout and does not create a contract or process payment, which clearly distinguishes it from quote, search_tariffs, and the other siblings.

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

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

The description gives explicit when-to-use and when-not-to-use guidance: only call after explicit user request, not automatically after a tariff recommendation, and call immediately once the request is made and PLZ/Verbrauch are known. It also prohibits intermediate steps such as asking for a current bill or offering a price comparison, and states there is no other valid entry point.

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