lakeview_dashboard_update

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

The description adds behavioral info by noting that the update creates a draft, which is beyond the annotations. However, it does not explain the draft lifecycle, how it relates to the original dashboard, or any mutation implications, leaving some ambiguity.

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 front-loads the purpose. However, it is so brief that it sacrifices helpful details, such as parameter roles or usage context.

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?

Despite the existence of an output schema, the description omits crucial behavioral context, such as how drafts work, how to finalize updates, and the implications for the original dashboard. The low parameter coverage and lack of usage guidelines make it incomplete.

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 description does not mention any input parameters. With only 25% schema description coverage, the description fails to add meaning beyond the schema, leaving three out of four parameters undocumented.

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 'Update' and the resource 'Lakeview dashboard', and the parenthetical 'creates a draft' adds specific nuance. This distinguishes it from sibling tools like lakeview_dashboard_publish or lakeview_dashboard_create, making the purpose precise.

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 provides no guidance on when to use this tool versus alternatives such as lakeview_dashboard_publish or lakeview_dashboard_create. It lacks context on prerequisites, when a draft is appropriate, or when to avoid using this tool.

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