twilize

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 describes the multi-step pipeline and output format (.twbx), which adds useful context. However, it lacks details on permissions, error handling, or performance characteristics (e.g., time/complexity for large files), leaving gaps for a tool with significant functionality.

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 well-structured and front-loaded with the core purpose, followed by a concise pipeline overview and detailed parameter explanations. Every sentence earns its place by providing essential information without redundancy, making it efficient for quick understanding.

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?

For a complex tool with 7 parameters, no annotations, and an output schema, the description is largely complete. It covers the purpose, pipeline, parameters, and return summary. However, it could improve by addressing behavioral aspects like error cases or limitations, given the absence of annotations.

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?

Given 0% schema description coverage, the description compensates fully by explaining all 7 parameters in detail. It provides clear semantics for each parameter, including defaults, options (e.g., theme presets), and examples (rules_yaml), adding significant value beyond the basic 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 clearly states the tool's purpose with specific verbs ('Build a complete Tableau dashboard') and resources ('from a CSV file'), including the end-to-end pipeline details. It distinguishes itself from sibling tools like 'csv_to_hyper' or 'create_workbook' by emphasizing the comprehensive dashboard creation process.

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 implies usage context through the pipeline explanation and parameter defaults, suggesting it's for automated dashboard generation from CSV data. However, it doesn't explicitly state when to use this tool versus alternatives like 'hyper_to_dashboard' or 'suggest_charts_for_csv', nor does it mention prerequisites or exclusions.

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