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

With no annotations, the description carries the full behavioral burden. It usefully discloses provenance and scope (Ladesäulenregister, CC BY 4.0, Bundesnetzagentur) but says nothing about read-only semantics, pagination behavior (limit/offset caps), or result shape.

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 sentences and zero filler; the operational facet list is front-loaded. The bracketed provenance note is reference metadata rather than operational guidance, which slightly dilutes an otherwise tight statement.

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 20-parameter tool with no annotations and no output schema, the description covers filter semantics well but omits pagination behavior, default/max result counts, and any hint of response structure. Adequate as a discovery surface, incomplete as a call guide.

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 only 45% across 20 params, so the description must compensate, and it largely does: it maps PLZ, Bundesland, power (kW), fast/normal, plug type, operator, payment, city, radius around lat/lon, and bounding box to their parameters, including the implicit lat/lon+radius coupling. It leaves sort, limit/offset pagination, open_24_7, and commissioned_after unexplained.

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 precise verb ('Search/filter'), a specific resource ('German EV charging stations'), and enumerates the filterable dimensions. Within the ladesaeulen_* sibling set it is unmistakably the search entry point versus get_station/get_stats/health.

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 facet inventory implies the usage context (multi-criteria discovery over a register), but there is no explicit when-to-use, no when-not-to-use, and no routing to siblings such as ladesaeulen_get_station for a single known station. Usage must be inferred from the filter list.

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