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

With no annotations, the description carries the full load. It does disclose useful traits the schema cannot: output is German prose of a few paragraphs and is synthesized by the model (rather than retrieved data), and past dates are supported. It omits cadence/refresh, caching, and any indication of reliability or coverage limits.

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?

Two short sentences, front-loaded with what the tool returns before the optional parameter detail. No filler or redundant restatement of the name.

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 single-parameter, no-output-schema tool this is largely sufficient: purpose, output language, output size, and parameter format are all covered. Minor gaps remain around what the briefing actually contains and freshness guarantees, but nothing blocks 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 coverage is 0% – the `date` parameter has only a type and null default. The description compensates by giving the exact format (YYYY-MM-DD), stating it is optional, and specifying it selects a past day, which is more than the schema offers.

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 ('Today's political situation in Germany in a few paragraphs'), and notes the output language and that it is model-generated. This clearly distinguishes it from data-lookup siblings like get_latest_polls or get_member, though it does not name an alternative.

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?

The only guidance is implicit: 'Optional date YYYY-MM-DD for a past day' tells the agent it can retrieve historical briefings. There is no when-to-use framing, no statement of when a sibling tool is preferable, and no note on freshness or whether future dates are valid.

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