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

Annotations already declare it as a safe read, but the description adds genuinely non-obvious behavior: the figures come from a nightly report with a timestamp rather than being live, and unmeasured values are reported as 'nicht gemessen' rather than 0 — a critical detail that prevents an agent misreading a sentinel as zero. It also discloses that start_bulk_wordpress_update re-reads fresh data before applying, which pre-empts a stale-data mistake. Not a 5 only because freshness/pagination mechanics across many sites (e.g. limits on site count) are not spelled out.

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?

Front-loaded with what the tool returns, then behavior, then sibling routing — a sensible order with no filler. It is dense (em dashes and semicolons pack several claims per sentence), which slightly reduces skimmability but every sentence carries information.

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?

No output schema exists, and the description fully compensates by enumerating the returned update fields and the timestamp on the data. Combined with the staleness caveat and the sibling pointers, an agent has everything needed to call this correctly and interpret the result.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly avoids redundant parameter talk and instead spends its words on scope and data provenance.

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 verb and resource ('Zeigt ALLE WordPress-Sites des Kontos ... mit ihrem Update-Stand') plus the exact fields returned (offene Plugin-Updates, WordPress-Update, automatische Updates, Paket). It explicitly separates itself from get_outdated_plugins, so an agent can distinguish it from its closest sibling without opening the schema.

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?

Gives an explicit trigger ('Der richtige Einstieg bei „aktualisiere alle meine Sites“') and names the alternative for a different intent (get_outdated_plugins for per-domain plugin detail). It also clarifies how it relates to start_bulk_wordpress_update, leaving nothing to inference.

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