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DataWorth AI: AI data buyer directory

Directory changelog

get_changelog
Read-onlyIdempotent

What changed in the buyer directory and when (newest first), plus what was left out and why.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 real value beyond them by disclosing result ordering (newest first) and that omitted entries and their reasons are surfaced, which an agent could not learn from structured fields.

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?

A single tight sentence with the substantive content (what changed, ordering, omissions) front-loaded and no filler.

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?

For a no-parameter, read-only tool with annotations covering behavior, the description covers what is returned and how it is ordered. There is no output schema, so the vague phrase 'what was left out and why' is the only soft spot — it hints at exclusions without saying what kind, which slightly undersells the return shape.

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 zero parameters and the schema is empty, so there are no parameter semantics to explain. Baseline for a parameterless tool applies.

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 identifies the resource (buyer directory changelog) and the content returned (what changed and when, ordered newest first), which is specific enough for an agent to distinguish it from the sibling lookup/search tools. It stops short of an explicit verb but the resource and scope are unambiguous.

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 statement of when to call this versus the siblings (search_buyers, get_buyer, list_situations, check_fit), nor any preconditions or exclusions. The tool is naturally distinct from those siblings, but the description leaves the routing entirely to inference.

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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