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markhilton
by markhilton

cja_get_dataview_info

Retrieve configuration and metadata for a CJA data view, including its name, description, owner, and component counts.

Instructions

Get detailed information about a CJA data view.

This tool retrieves configuration and metadata for the data view, including its name, description, owner, and component counts.

Args: dataview_id: Optional data view ID (uses configured default if not provided). expansion: Optional additional fields to include (e.g., 'components').

Returns: Dictionary with data view configuration and metadata.

Example queries: - "What data view am I using?" - "Show me information about the current data view" - "What's configured in my data view?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataview_idNo
expansionNo
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It indicates a read-only operation returning configuration metadata, but does not mention error handling, permissions, or response size. The basic behavior is clear but not comprehensive.

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, consisting of a single introductory sentence followed by structured Args and Returns sections. It is front-loaded with the purpose and contains no extraneous information.

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

Completeness4/5

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

Given the tool's simplicity (two optional params, no output schema), the description covers the essential aspects: purpose, parameters, and example queries. Minor gaps exist, such as the exact return structure and error scenarios, but it is largely sufficient for agent decision-making.

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

Parameters4/5

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

With 0% schema description coverage, the description compensates well by explaining the two parameters: dataview_id is optional and defaults to a configured value, expansion can include additional fields like 'components'. This adds meaningful context beyond the raw schema.

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 that the tool retrieves detailed information about a CJA data view, using a specific verb and resource. It distinguishes itself from sibling tools, which focus on other entities like metrics, segments, or reports, making the purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for obtaining data view configuration but does not explicitly state when to use this tool versus alternatives or when not to use it. The sibling list provides context, but direct guidelines are missing.

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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