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

With no annotations, the description carries the full burden and does well: it discloses that exactly 3 platforms are returned with reasons, verdict, ban reasons and sources, that 'nein' verdict platforms are excluded and listed with a reason, that ranking ignores paid-plan existence, that it is free, and that it gives no legal/tax advice. It does not mention auth requirements, latency or rate limits, so not 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?

Front-loads the usage condition, then the return shape, then edge-case behavior and disclaimers. Dense and nearly every clause earns its place, though the middle sentence packs a lot of clauses that could be split for faster scanning.

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 compensates by describing the return payload (3 platforms, reasons, verdict, ban reasons, sources) and the exclusion behavior for 'nein' verdicts. Combined with full schema coverage, an agent has everything needed to call and interpret the tool.

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%, so the schema already documents every parameter including defaults (country DE, budget 20, human_minutes 60, automated/ai_content true). The description restates budget (EUR), human minutes, country and skills without adding syntax or format meaning beyond the schema, so the baseline 3 applies.

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+resource (returns top 3 earning platforms) and scopes it to an un-chosen-platform decision, which distinguishes it from get_platform, list_platforms and can_i_earn_here. An agent can tell what it gets back 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 when: small budget, limited human time, and no platform chosen yet. It implies the when-not (already chosen a platform) but does not name the sibling alternatives (get_platform, get_plan) an agent should switch to, so it falls short of a full 5.

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