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Growth-Management

trocco-mcp-tools

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get_datamart

Retrieve a TROCCO datamart definition by its ID, including BigQuery SQL and optional metadata, to audit or review datamart configurations.

Instructions

Fetch a TROCCO datamart definition by datamart_definition_id, including BigQuery SQL and option metadata when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datamart_definition_idYes
Behavior2/5

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

No annotations provided; the description does not disclose side effects, permissions, rate limits, or error handling. It only notes that SQL and metadata may not always be available ('when available'), which is a minor behavioral detail but insufficient for a complete transparency.

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 a single, concise sentence that conveys the core purpose without unnecessary words. It could benefit from a brief note on output but remains efficient.

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 only one parameter, no output schema, and no annotations, the description is minimally adequate. It states what is fetched but omits details on return format, error conditions, and integration points. A more complete description would include expected output structure and potential failures.

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

Parameters2/5

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

With 0% schema description coverage, the description should add meaning to the parameter. It only mentions 'by datamart_definition_id', which repeats the parameter name without explaining its format, constraints, or relationship to the tool's behavior. The schema already defines it as integer with exclusiveMinimum, so the description adds no value.

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 (Fetch) and resource (TROCCO datamart definition), specifying what is included (BigQuery SQL and option metadata). It distinguishes from the sibling get_workflow implicitly by focusing on datamart, but lacks explicit differentiation.

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, no prerequisites, and no conditions for use. The sibling 'get_workflow' exists but no comparison is provided.

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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