Get World Model Dashboard

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds that it returns a dashboard summary but does not disclose response format, pagination, or permissions. It is consistent with annotations and adds minimal but non-contradictory 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?

The description is a single concise sentence that is front-loaded with the action and resource. There is no redundant wording or filler, and every word adds value.

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 simple one-parameter read-only fetch with strong annotations, the description is largely complete. However, it does not clarify what the dashboard summary includes or what a typical response looks like, leaving minor gaps for an agent expecting more detail.

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 single parameter world_model_id is fully described in the schema with 100% coverage. The description does not add additional semantic details beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 clearly states the verb ('Fetch'), the resource ('dashboard summary'), and the scope ('for a single World Model'). It distinguishes itself from the sibling lyzr_world_model_dashboard_overview by explicitly indicating it targets a single World Model, making the purpose unambiguous.

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 description implies usage (fetch dashboard for a single World Model) but provides no explicit guidance on when to use this tool versus the sibling dashboard_overview tool or any other alternatives. The scope is clear but not the decision boundary.

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