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Uk Ons List Datasets

uk_ons_list_datasets
Read-onlyIdempotent

Paginated catalog of ONS datasets. Returns id, title, description, contacts, release frequency, last release, theme.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "limit": 20,
      "offset": 0
    },
    "name": "uk_ons_list_datasets"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo1-100 (default 20)
offsetNo0-based offset (default 0)

Output Schema

NameRequiredDescriptionDefault
totalYesTotal number of datasets available
datasetsYesList of normalized datasets
returnedYesNumber of datasets returned in this page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is fully covered. The description adds that results are paginated and enumerates the returned fields, but the field list largely duplicates the output schema, and no pagination behavior (total counts, exhaustion signal) is described.

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?

Two short sentences, front-loaded with the core purpose, with no filler. The enumerated return fields are slightly redundant given an output schema exists, but the text stays minimal.

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 rich annotations, a fully documented two-parameter schema and an output schema, the description only needs to establish purpose and pagination, which it does. A brief note on how to page through the full catalog would make it complete.

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 100%, so limit and offset ranges and defaults are already documented. The description contributes only the general notion of pagination, which is the baseline expectation when the schema does the heavy lifting.

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?

States a specific resource and scope: a 'Paginated catalog of ONS datasets', which reads clearly as a list/browse operation. It doesn't explicitly contrast itself with uk_ons_get_dataset or uk_ons_get_observations, so the distinction is inferable but not stated.

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 word 'catalog' plus pagination implies this is the discovery/browse step before fetching a specific dataset, but there is no explicit when-to-use or when-not-to-use guidance. The agent must infer the routing from the sibling name uk_ons_get_dataset on its own.

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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