validate_dashboard_config

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

With no annotations, the description carries full burden. It discloses success outputs (Python code, py.cafe link, auto-open behavior) and mentions return type. However, it does not explain what validation entails (syntax checks, data consistency), leaving process details ambiguous.

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 brief (two sentences plus a return line) and front-loads the primary purpose. It avoids unnecessary details, though the second paragraph could be considered an aside. It is appropriately sized for a tool with a comprehensive schema.

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?

Given the complexity (nested objects, output schema implied), the description mentions return behavior and auto-open but lacks details on validation scope (e.g., what checks are performed, prerequisites). Output schema existence reduces the need to explain return values, but process details are missing.

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 100%, so baseline is 3. The description only adds value by noting the auto_open parameter's effect and the return type, which is marginal. It does not elaborate on the required parameters beyond the schema.

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 explicitly states 'Validate Vizro model configuration' with a clear verb and resource. It differentiates from siblings like 'validate_chart_code' which focuses on individual charts, making the tool's purpose distinct.

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 advises 'Run ALWAYS when you have a complete dashboard configuration', providing strong contextual guidance. While it doesn't explicitly exclude other scenarios, the sibling tools cover individual parts (e.g., chart validation, data loading), implying this is for full config validation.

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