Workspace List Feature Datasets

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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only a vague claim about 'verifiable structured results' and a deferral of write/path limits to service capability, which is filler rather than real behavioral context (e.g., pagination by max_items, wildcard matching, recursion behavior).

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?

The description is very short (one sentence plus a caveat) and front-loaded, but the brevity reflects under-specification rather than efficient communication. It is not bloated, but it uses space on a generic caveat instead of the tool's actual scope.

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 three-parameter read tool with an output schema and rich annotations, the description is still incomplete: it does not mention feature datasets, wildcard filtering, max_items behavior, or the workspace_path requirement. The existence of an output schema relieves it of return-value explanation, but the invocation semantics remain unexplained.

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 must compensate for three undocumented parameters. It says nothing about workspace_path (required), max_items (default 200), or wild_card (default '*'). This is a complete miss on the burden.

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 '列出工作空间' (list workspaces) restates the generic purpose but the tool name and title explicitly say 'list feature datasets'. The description does not mention feature datasets at all, so it fails to state the specific resource this tool acts on, and it does not distinguish it from the many sibling list tools (workspace_list_feature_classes, workspace_list_rasters, workspace_list_tables, workspace_list_datasets).

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?

No when-to-use, when-not-to-use, or alternative guidance is given. With over a dozen sibling listing tools, this tool provides no routing information, making agent selection essentially guesswork.

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