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get_dashboard

Retrieve a specific dashboard from Apache Superset using its ID or slug identifier for data visualization access.

Instructions

Get a single dashboard by ID or slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
id_or_slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic operation. It doesn't disclose behavioral traits like read-only nature (implied by 'Get'), error handling for invalid IDs/slugs, authentication needs, rate limits, or response format details.

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 a single, efficient sentence with zero waste, front-loading the core purpose. Every word earns its place without redundancy or unnecessary elaboration.

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 simple single-parameter input and existence of an output schema, the description is minimally adequate but lacks context on prerequisites, error cases, or sibling tool differentiation. For a basic read operation, it meets the minimum viable threshold but leaves room for improvement.

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%, but the description adds meaning by explaining that the parameter accepts 'ID or slug', clarifying the dual input types beyond the schema's anyOf string/integer. However, it doesn't detail format constraints or examples, leaving gaps in parameter understanding.

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 action ('Get') and resource ('a single dashboard'), specifying retrieval by ID or slug. It distinguishes from sibling list_dashboards by focusing on single-item retrieval, though it doesn't explicitly contrast with get_dashboard_charts or other get_* tools.

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?

No guidance on when to use this tool versus alternatives like list_dashboards for browsing or get_dashboard_charts for related data. The description implies usage for single-dashboard retrieval but lacks explicit context or 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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