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aptro

Superset MCP Integration

by aptro

superset_explore_form_data_create

Store chart configuration data temporarily for exploration in Apache Superset, enabling retrieval of visualization settings and metrics.

Instructions

Create form data for chart exploration

Makes a request to the /api/v1/explore/form_data POST endpoint to store chart configuration data temporarily.

Args: form_data: Chart configuration including datasource, metrics, and visualization settings

Returns: A dictionary with a key that can be used to retrieve the form data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_dataYes
Behavior2/5

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 states the tool stores data 'temporarily,' which is useful context about persistence. However, it lacks details on authentication needs, rate limits, error handling, or what 'temporarily' means (e.g., duration). For a creation tool with zero annotation coverage, this is insufficient.

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

Conciseness4/5

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

The description is appropriately sized and front-loaded: the first sentence states the purpose, followed by endpoint details and parameter/return explanations. Each sentence adds value without redundancy. It could be slightly more structured but is efficient overall.

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?

Given the tool's complexity (creation operation with nested parameters, no annotations, no output schema), the description is minimally adequate. It covers the purpose, parameter semantics, and return value, but lacks behavioral details and usage guidelines. For a tool with no structured support, it meets the basic threshold but has clear gaps.

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?

The description adds some meaning beyond the schema: it specifies that 'form_data' includes 'datasource, metrics, and visualization settings.' However, with schema description coverage at 0% and a single parameter that is a nested object, this explanation is minimal. It provides basic semantics but doesn't fully compensate for the lack of schema details, aligning with the baseline expectation.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Create form data for chart exploration' and 'store chart configuration data temporarily.' It specifies the verb (create/store) and resource (form data for chart exploration). However, it doesn't explicitly differentiate from its sibling 'superset_explore_form_data_get' beyond the create vs. get distinction, which is why it's not a 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It mentions the endpoint but doesn't explain the context, prerequisites, or when to choose this over other chart-related tools like 'superset_chart_create' or 'superset_explore_permalink_create.' This leaves the agent without usage direction.

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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