𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'generates' (implying a write/creation operation) and 'real-time data tracking' (suggesting dynamic updates), but lacks details on permissions, rate limits, side effects, or output behavior. The input schema notes performance improvements (e.g., removed PDF formats), but the description doesn't expand on this, leaving gaps in transparency for a complex tool.

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 front-loads the core purpose. It avoids redundancy and wastes no words, making it easy to grasp quickly. However, it could be slightly more structured by breaking down key features or use cases, but overall, it's appropriately concise for the tool's complexity.

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 (9 parameters, no output schema, no annotations), the description is somewhat incomplete. It states what the tool does but lacks details on output format, error handling, or integration with siblings. The input schema provides extensive parameter info, but without annotations or output schema, the description should do more to cover behavioral aspects, such as what 'generates' entails in practice.

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 100%, so the schema already documents all 9 parameters thoroughly (e.g., 'reportType' with detailed examples). The description adds no additional parameter semantics beyond what's in the schema, such as explaining interactions between parameters. This meets the baseline of 3, as the schema does the heavy lifting, but the description doesn't compensate with extra insights.

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: 'Generates interactive workflow reports and analytics dashboards with rich visualizations and real-time data tracking.' It specifies the verb ('generates') and resource ('workflow reports and analytics dashboards') with additional details about features. However, it doesn't explicitly differentiate from sibling tools like 'get_report_status' or 'workflow_execution_operations', which could provide related functionality.

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 implied usage through terms like 'interactive' and 'real-time data tracking,' suggesting it's for analytical purposes. The input schema includes extensive examples for different report types (e.g., 'Daily standup: "interactive-dashboard"'), which offer context. However, there's no explicit guidance on when to use this tool versus alternatives like 'get_report_status' or other siblings, leaving some ambiguity.

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