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Price history for a TLD

price_history
Read-onlyIdempotent

Every recorded price change for one TLD, oldest first, from GoMain's daily archive. A registrar's first entry is its price when the archive began (or when it started selling the TLD); later entries are changes. Prices are per year, in US dollars unless currency says otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tldYesA TLD ("ai", ".co.uk") or a domain to take it from ("example.ai")
registrarNoOnly this registrar's changes, by id ("porkbun")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, so safety is covered. The description adds genuinely new behavioral context: chronological ordering, the meaning of a registrar's first entry (archive start or first sale), and that prices are annual and USD-denominated. It does not discuss result size or pagination, keeping it below 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.

Conciseness5/5

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

Three tight sentences with zero filler, front-loaded with what the tool returns, then scoping/ordering, then unit semantics. Every sentence carries information an agent needs.

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 no output schema, the description carries the return-value burden and does so reasonably: it explains the entry sequence and price units. It leaves out volume/shape of results (e.g., how many registrars are typically returned) and the dangling `currency` reference is unexplained.

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 coverage is 100%, so both parameters are already documented; the description adds only the ordering guarantee and currency semantics. It references a `currency` field that is not a parameter in the schema, which adds mild ambiguity rather than clarity, so this stays at the baseline.

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

Purpose5/5

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

States a specific result (every recorded price change for one TLD) plus ordering (oldest first) and data source (GoMain's daily archive). An agent can distinguish this from compare_prices (cross-registrar comparison) and tld_info (static registry facts) without opening a schema.

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?

Usage is only implied: the description explains what the data means once you call it, but never says when to reach for it over tld_info or compare_prices, nor any prerequisites. Adequate for an obvious lookup tool, but no explicit routing or exclusions.

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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