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Recent dataset changes

get_changes
Read-onlyIdempotent

Use when you need to know what is new or whether the data changed since you last looked. The latest releases of the Greencyclepedia data files: the version to cite, which datasets changed, records added and removed, and where the dated copy of each release lives, plus new_sources: the news sources and partners added in the last 30 days, with the date added and what each covers. Example arguments: {"limit":3}.

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": "get_changes"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many items to return, at most 20.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine behavioral context beyond that: the payload includes both release metadata and a rolling 30-day new_sources section with per-source coverage notes. It does not discuss ordering, freshness, or what happens when nothing changed, which keeps it from a 5.

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?

The when-to-use clause is correctly front-loaded, but the remainder is one long run-on sentence that stitches two distinct payloads together with 'plus new_sources:'. Splitting releases from new_sources into separate sentences would make the content easier to scan without adding length.

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?

There is no output schema, so the description carries the burden of describing return content, and it does so by enumerating the release fields and the new_sources fields. For a one-parameter read tool with full annotation coverage, that is nearly sufficient; only the limit's scope across the two payload sections is left unresolved.

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% and the single limit parameter is fully documented with default and min/max, so the schema does the heavy lifting. The description adds only an example call with {"limit":3}, and does not clarify whether limit applies to releases, new_sources, or both — a real ambiguity given the two payload sections. Baseline 3 is appropriate.

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 names the resource concretely: latest releases of the Greencyclepedia data files, the version to cite, which datasets changed, records added/removed, dated copy locations, and new_sources added in the last 30 days. That is a specific enumeration of what the tool returns, not a restatement of the name. It stops short of a 5 because it never contrasts itself with a sibling such as cite or search, even though 'the version to cite' hints at overlap with cite.

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?

The opening clause gives an explicit trigger: 'Use when you need to know what is new or whether the data changed since you last looked.' That is a clear use context. There are no exclusions or named alternatives, so an agent cannot tell from the description when to prefer cite or search over this tool.

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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