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GitHub datasets and the API path serving the same rows

ud_list_meta_datasets
Read-onlyIdempotent

The GitHub datasets and the API path serving the same rows. Takes no input.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ud_list_meta_datasets"
  }
}

Input Schema

NameRequiredDescriptionDefault
fieldsNoComma-separated top-level keys to keep: id, repository, url, endpoint, updatedOn.

Output Schema

NameRequiredDescriptionDefault
dataNo
metaNoThe day of the answer, and the page cursor of a list.
linksNoLinks of the answer.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds essentially nothing beyond that, and its one claim ('Takes no input') is behaviorally inaccurate given the optional 'fields' parameter. No claim contradicts the annotations themselves, so this stays at a baseline 3 rather than dropping to 1.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, with no filler phrasing. But the second sentence ('Takes no input') does not earn its place because it is false relative to the schema and should be replaced with actual selection guidance.

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

Completeness2/5

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

An output schema exists, so return values need not be described, and the annotations carry the safety profile. Still, for a tool with 48 siblings in a meta namespace, a two-sentence definition that misstates its own parameter surface leaves the agent without enough to choose it confidently over ud_get_meta_providers or ud_get_meta_freshness.

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?

Schema description coverage is 100% and the single 'fields' parameter is fully documented in the schema, which would normally set a baseline of 3. However, the description actively says 'Takes no input,' which undercuts the documented projection parameter and could cause an agent to skip field selection entirely, so it detracts rather than adds.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a verbatim restatement of the title: 'The GitHub datasets and the API path serving the same rows' names a resource but supplies no verb (list/return/describe). An agent can infer that it returns dataset-to-endpoint mappings, but the sentence is tautological with the title and not distinguishable in wording from sibling meta tools.

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?

There is no when-to-use or when-not-to-use guidance, and no routing to the closely related siblings ud_get_meta_enums, ud_get_meta_freshness, or ud_get_meta_providers. The only usage statement is 'Takes no input,' which is guidance about invocation rather than selection.

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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