analytics_executive_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 'automated insights' but fails to describe key traits: whether this is a read-only or mutation operation, what permissions are needed, how results are delivered (e.g., file output, visual display), or any rate limits. For a complex tool with no annotations, this is a significant gap.

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 that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 (6 parameters with nested objects, no output schema, no annotations), the description is insufficient. It lacks details on behavioral traits, parameter usage, output format, and differentiation from siblings. For a tool that likely generates a significant output like a dashboard, more context is needed to guide the agent effectively.

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 parameters, leaving all semantic meaning to the input schema. With low schema description coverage (17%), most parameters lack documentation in both the schema and description. The description adds no value beyond the schema, but since schema coverage is low, it doesn't compensate adequately, resulting in a baseline 3.

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 comprehensive executive dashboard with automated insights and KPI tracking.' It specifies the verb ('generate') and resource ('executive dashboard'), and distinguishes it from siblings like 'analytics_kpi_dashboard' by emphasizing comprehensiveness and executive focus. However, it doesn't explicitly contrast with all siblings, keeping it at 4 instead of 5.

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_kpi_dashboard', 'cash_flow_forecast'), there is no indication of context, prerequisites, or exclusions. This leaves the agent guessing about appropriate use cases.

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