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

Beyond annotations (readOnly=false, destructive=false), the description adds important behavioral facts: login is required, the hold lasts 15 minutes, it returns hold_id and expiration time, no price is charged, and nobody is contacted. It does not describe what happens after expiry or how to convert the hold into an appointment, but for a sandbox tool this is sufficient.

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 a single compact sentence that front-loads the sandbox context and login requirement, then provides the action, output, and side-effect guarantees. Every clause earns its place, and there is no redundant repetition of the title or schema.

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?

The description covers the essential context an agent needs: sandbox scope, login requirement, fictional business, 15-minute hold, return values, and absence of cost/contact. The only notable gap is the relationship between duration_minutes and the 15-minute hold, and there is no output schema to formalize the returned fields. Still, the description is adequate for correct invocation.

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?

Schema description coverage is high (83%), so the input schema already explains most parameters. The description does not add meaningful parameter-level semantics beyond the tool's behavior; it mentions '15 Minuten' as the hold duration, but does not clarify how duration_minutes relates to the hold versus the eventual appointment. Baseline 3 applies because the schema carries most of the parameter burden.

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 states a specific action ('merkt einen Slot vor') against a specific resource ('fiktiven Beispiel-Betrieb') and clearly distinguishes the tool from appointment booking by mentioning the 15-minute hold and the returned hold_id and Ablaufzeit. The sandbox context is explicit and unambiguous.

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?

It clearly establishes when this tool is appropriate: in the sandbox, with login, for a fictional business, and for a temporary 15-minute hold with no price and no contact. It does not explicitly name sandbox_request_appointment as the alternative for a firm booking, but the context is clear enough that an agent can infer the distinction.

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