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superset_chart_cache_warmup

Precompute and store chart data by warming its cache, reducing load times for frequently used charts. Supply chart ID, optionally dashboard ID for filter context.

Instructions

Warm up the cache for a chart.

Useful for speeding up loading of frequently used charts.

Args: chart_id: ID of the chart to warm up. dashboard_id: Dashboard ID for filter context (optional).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chart_idYes
dashboard_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It mentions the primary action (warm up cache) but does not explain side effects, whether the operation is synchronous, any permission requirements, or what the return value indicates. This leaves significant behavioral uncertainty.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured. It opens with the core action, then provides a brief usage note, followed by parameter documentation. Every sentence adds value, with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool, the description covers purpose and parameters adequately. However, the absence of annotations and any mention of execution behavior (e.g., synchronous vs. asynchronous, caching semantics, or return value) leaves gaps. The output schema exists but is not described, so the description is not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates by documenting both parameters. It defines chart_id as 'ID of the chart to warm up' and dashboard_id as 'Dashboard ID for filter context (optional)', which adds some meaning, especially for dashboard_id. However, the explanations are minimal and do not elaborate on how dashboard_id affects the cache warmup process.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Warm up the cache for a chart' with a specific verb and resource. It also explains the motivation ('speeding up loading of frequently used charts'), which distinguishes it from sibling tools like superset_chart_get or superset_chart_data that retrieve data rather than pre-warm cache.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a clear context for when to use the tool ('Useful for speeding up loading of frequently used charts'), but it does not explicitly mention when not to use it or name alternatives. This gives clear usage context without exclusions.

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

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