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Russia–NATO risk ladder

Changelog and corrections

get_changelog
Read-onlyIdempotent

Significant changes to data, model and site, and the corrections history (what was wrong, what changed, who reported it).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage of text fields (default en)
typeNo
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful domain context (corrections include what was wrong and who reported it), but nothing about pagination, ordering, or result shape beyond that.

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?

A single tight sentence with the resource stated first and the parenthetical clarifying the corrections content. No wasted words, though it could have spent a few words on filtering behavior.

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

Completeness3/5

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

With no output schema, the description reasonably conveys what comes back (significant changes and corrections history). However, it leaves the two undocumented filter parameters and any ordering/limit semantics unaddressed, so an agent cannot fully predict filtering behavior.

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 coverage is only 33% — lang has a description but type and limit do not, and the description mentions no parameters at all. With a documented coverage gap, the description needed to explain the type enum values and the limit cap but does not.

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 a specific resource (the changelog plus corrections history) and enumerates its scope: data, model, site changes and who reported corrections. It is clearly distinguishable from siblings like get_sources or get_methodology, though it never explicitly contrasts itself with them.

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?

It describes what the changelog contains but gives no when-to-use guidance, no prerequisites, and no routing to alternative tools such as get_forecast_history. Usage is only inferable from the resource name.

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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