get_buiding_Id_list

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

With no annotations, the description carries the full burden. It implies a read operation but never states it, and the critical scope question — which dataset the IDs come from, given no dataset parameter — is unexplained. Return type is covered by the output schema, so the description adds little behavioral context.

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?

It is short, but the second half ('Returns: list[str]...') restates what the first sentence and the output schema already convey, so it is partially redundant rather than maximally efficient.

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?

The output schema covers the return value, so that needn't be explained. However, for a 0-parameter getter in a toolset with list_datasets/load_dataset, the description omits which dataset scope applies, leaving a real ambiguity an agent would want resolved.

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, which is the baseline 4 per the rubric. Nothing is required of the description here, though it could have clarified that the operation implicitly targets the currently loaded dataset.

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?

The description states a specific verb and resource: it returns a list of all building IDs (gml:id values) in the dataset. This is distinguishable from get_all_buildings (full objects) or get_building_by_id (single object), but the distinction is left implicit rather than called out.

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?

There is no statement of when to use this over the many ID-related siblings (get_all_buildings, get_building_by_id, number_of_buildings). No prerequisites, no exclusions, no alternative routing are provided.

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