analytics_kpi_dashboard

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Generate' and 'dashboard,' implying a creation or output operation, but fails to describe critical behaviors such as whether this tool modifies existing data, requires specific permissions, has rate limits, or what the output format looks like (e.g., visual dashboard, report file). For a tool with no annotation coverage, this leaves significant gaps in understanding its operational impact.

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, efficient sentence: 'Generate focused KPI performance dashboard with status tracking and trend analysis.' It is front-loaded with the core action and purpose, with no redundant or verbose language. Every word contributes directly to conveying the tool's function, making it appropriately concise and well-structured.

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 tool's complexity (2 parameters with nested objects, no annotations, and no output schema), the description is incomplete. It does not address parameter meanings, behavioral traits, output expectations, or differentiation from siblings. For a tool that likely generates a detailed dashboard, the description fails to provide sufficient context for an agent to use it effectively without additional inference or trial-and-error.

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%, meaning the input schema provides no descriptions for parameters. The tool description does not compensate by explaining what 'kpis' or 'worksheetName' represent, their expected formats, or how they influence the dashboard generation. With 2 parameters (one required, one optional) and complex nested structures in 'kpis', the lack of semantic guidance in the description is a major shortfall.

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 tool's purpose: 'Generate focused KPI performance dashboard with status tracking and trend analysis.' It specifies the verb ('Generate') and resource ('KPI performance dashboard'), and distinguishes it from siblings like 'analytics_executive_dashboard' by focusing on KPI-specific metrics. However, it doesn't explicitly differentiate from other analytics tools beyond the KPI focus, preventing a perfect score.

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. With many sibling tools (e.g., 'analytics_executive_dashboard', 'analytics_scenario_comparison'), there is no indication of specific contexts, prerequisites, or exclusions. The agent must infer usage based on the name and description alone, which is insufficient for effective tool selection.

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