Embed Interactive Tableau 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 reveals that the tool returns no numbers itself, reports the user's current filter/parameter state, and that re-rendering mounts an unfiltered viz, discarding the user's applied filters. This is thorough and prevents misuse.

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 long but front-loaded: the first sentence states the core purpose and interactivity. It then systematically covers exclusions, alternatives, frequency limits, and filter-state behavior. There is minor redundancy, such as ending with 'Do not re-embed' after already stating 'Do NOT call it again', which makes it slightly more verbose than necessary.

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?

With no output schema, no annotations, and no sibling tools, the description compensates by covering return behavior, filter-state reporting, data-query handoff, and alternative tool limitations. It is complete for a parameterless tool, anticipating common follow-up questions and misuse scenarios.

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 input schema has zero parameters and 100% schema description coverage, which is the baseline 4 for parameterless tools. The description correctly adds no parameter syntax details since none exist, and it focuses instead on usage and behavioral constraints.

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 uses specific verbs ('renders', 'shows') and clearly identifies the exact resource: the user's own Superstore Performance dashboard, live and interactive. It explicitly distinguishes this tool from alternatives by stating that no other tool can do this and that other Tableau tools only return URLs or static images.

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?

Provides explicit when-to-use triggers ('When the user asks to see, show, open, display or view...'), strong exclusions ('Do NOT recreate, rebuild, approximate or simulate'), and alternative recommendations (use a Tableau data query tool for data questions). It also enforces a strict frequency limit ('at most once per conversation') and warns against re-ordering.

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