twilize

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

With no annotations provided, the description carries the full burden and does well by detailing the multi-step pipeline behavior (schema inference, chart suggestion, etc.) and output format (.twbx). It mentions default behaviors for parameters but lacks details on error handling, performance, or system requirements.

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 with a purpose statement, pipeline overview, parameter details, and return info. It is appropriately sized but could be slightly more front-loaded; the pipeline details are useful but might be condensed.

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 8 parameters, 0% schema coverage, and no annotations, the description is quite complete—covering purpose, pipeline, parameters, and returns. The presence of an output schema reduces the need to detail return values, but more behavioral context (e.g., error cases) would enhance completeness.

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 fully compensates by explaining all 8 parameters in the 'Args' section, providing clear semantics for each (e.g., 'max_charts: Maximum number of charts (0 = use rules default)'). This adds 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 Hyper extract file'), including the end-to-end pipeline details. It distinguishes itself from sibling tools like 'csv_to_dashboard' or 'mssql_to_dashboard' by specifying the Hyper file input source.

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, but does not explicitly state when to use this tool versus alternatives like 'csv_to_dashboard' or 'create_workbook'. No explicit exclusions or prerequisites are provided.

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