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Dataset columns and shape

dataset_columns

The columns, which of them are numeric, the row count and the provenance banner of the TakeoffDeck dataset. Call this first to learn the schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It describes what information is returned but does not explicitly state that the operation is read-only or side-effect-free, though the zero-parameter schema strongly implies it.

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, covering all key outputs in a single sentence plus a clear usage directive. No unnecessary words or redundancy.

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?

The description lists the returned elements well enough for an agent to know what to expect, despite lacking an output schema. It does not detail output formatting, but that is not essential for this simple schema-introspection tool.

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?

There are no parameters and the schema coverage is complete. The description does not need to explain parameters because none exist, so the baseline score applies.

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 tool returns the schema-related details: columns, numeric flags, row count, and provenance banner. It also explicitly says to call it first, reinforcing its role as an introductory schema exploration tool.

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?

It gives explicit usage guidance with 'Call this first to learn the schema', which tells the agent when to use it. It does not mention alternatives or when not to use it, but the first-step instruction is sufficient for typical schema discovery.

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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