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List datasets

list_datasets
Read-only

List the available datasets: slug and what your access includes. Call this first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetsYes
feedbackYesA note to the client about send_feedback.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedOutput schema / properties / datasets / items / properties / history_start
      Removed value: -{
      -  "description": "First day with data, YYYY-MM-DD.",
      -  "type": "string"
      -}
    • changedOutput schema / properties / datasets / items / required
      Previous value: -[
      -  "slug",
      -  "name",
      -  "description",
      -  "output",
      -  "read_with",
      -  "history_start",
      -  "your_access"
      -]New value: +[
      +  "slug",
      +  "name",
      +  "description",
      +  "output",
      +  "read_with",
      +  "your_access"
      +]
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds the useful detail that the result reports the caller's access scope, but says nothing about ordering guarantees, auth prerequisites, or whether the list can be empty – a modest addition over the annotations.

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?

Two short sentences with zero filler. The return content comes first and the actionable instruction ('Call this first') is placed at the end where it lands as a directive.

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?

With an output schema present and zero parameters, the description does not need to document return shape, and it correctly stays brief. It is nearly complete for this tool, with only the lack of any indication of an empty/unauthorized result state keeping it from a 5.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate; the baseline for a zero-parameter tool applies. No parameter meaning is needed or missing.

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 states a specific verb and resource ('List the available datasets') and even names what comes back ('slug and what your access includes'). It is clear on its own, but it never differentiates itself from the many sibling list/get/search tools (list_feedback, get_usage, search), so an agent must infer the distinction from the name alone.

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?

'Call this first' is explicit sequencing guidance that tells the agent when in the workflow to invoke it. It does not name an alternative or a condition under which a sibling is preferable, but for a zero-parameter discovery tool the guidance is concrete rather than merely implied.

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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