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

Annotations already cover the read-only/idempotent/closed-world profile, and the description adds real context beyond them: the projections come from 10,000 simulated remaining seasons and are refreshed after every matchday. It stops short of describing the returned data shape, which keeps it from a 5.

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?

A single front-loaded sentence that names the outcome categories first, then the competitions, then the methodology. No filler.

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?

With one required enum and full annotation coverage, the description supplies enough to call it correctly and understand the modelling basis. The absence of an output schema means the result format is unstated, which is the only meaningful gap.

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 100% with a single enum, so the schema already does the work. The description maps the three league names onto the enum values but adds no syntax or format detail beyond that, making the baseline 3 correct.

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?

States a specific resource (Chancen jedes Klubs auf Tabellenbereiche am Saisonende) with the exact outcome categories and leagues covered. An agent can distinguish this projection tool from siblings like bilanz or spieltag purely from the description.

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?

Usage is implied — you call it to get season-end probability projections, and the note that it is recalculated after each matchday hints at freshness — but there is no explicit when-to-use, when-not, or pointer to an alternative such as bilanz for actual results.

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