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

With no annotations, the description must carry the behavioral burden, and it does disclose useful traits: the backing file, that omitting parameters dumps the entire file, the id-over-sub_brand precedence rule, and that three-tier entries return a full tiers array. It omits error behavior for unknown ids, permissions, and any read-only framing.

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?

Purpose is front-loaded in one line, followed by per-parameter notes; the examples earn their place by showing exact expected string values. It is slightly longer than strictly necessary but nothing is 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?

For a two-optional-parameter lookup with no output schema, the description adequately conveys the return shapes (full file with stand/hinweis/entries, or a tiers array). Only failure modes for a bad id are left unaddressed.

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 0%, so the description is the only source of parameter meaning, and it delivers: sub_brand is explained with concrete example values, and id is explained with an example plus its precedence over sub_brand and its effect on the returned tiers structure.

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 ('Liefert Preisinformationen aus pricing.json') and specifies the exact data source, which clearly separates it from siblings like get_capability or get_company_profile. It does not explicitly name any sibling tool, so it stops short of full differentiation.

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 clear context for each call mode: no parameters returns the whole file, sub_brand filters, and id selects a single entry with explicit precedence over sub_brand. It never states when to prefer this tool over the sibling pricing-related tools, but the invocation conditions themselves are unambiguous.

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