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Everloot: WoW Forever data

Recipe skill ranges

recipe_thresholds
Read-onlyIdempotent

Returns where one Forever profession's recipes turn yellow, green and grey, as skill ranges inferred from the colours players' trade-skill windows showed, never guessed exact numbers. A recipe appears only after 3 installs agree. Agreed reagents come with an estimated cost per craft when every reagent has an agreed price. Use it for how long a recipe keeps giving skill points; use profession_path for a step-by-step route between two skill levels. Narrow the list with part of a recipe name. Reads Everloot's current public corpus.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "profession": "<profession>"
    },
    "name": "recipe_thresholds"
  }
}

Input Schema

NameRequiredDescriptionDefault
recipeNoPart of a recipe name to narrow the list. Without it, every recipe of the profession.
professionYesProfession name, such as Alchemy.

Output Schema

NameRequiredDescriptionDefault
urlNoThe everloot.app page that shows this answer, absolute. Absent when there is no such page or it would be empty.
pageNo
reasonNoWhy nothing was read, when connected is false.
dataAsOfYesThe corpus snapshot time, or null when unrecorded.
connectedYesFalse when no corpus was read; the page is then absent, which is not a measured zero.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / recipe / description
      Previous value: -"Optional part of a recipe name to narrow the list."New value: +"Part of a recipe name to narrow the list. Without it, every recipe of the profession."
  2. Changed1 schema field changed
    • addedOutput schema / properties / url
      Added value: +{
      +  "description": "The everloot.app page that shows this answer, absolute. Absent when there is no such page or it would be empty.",
      +  "type": "string"
      +}
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare a read-only, idempotent, non-destructive, closed-world operation. The description adds meaningful provenance: ranges are inferred from observed trade-skill window colours rather than guessed exact numbers, a recipe appears only after three installs agree, and costs appear only when every reagent has an agreed price.

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?

The core behaviour is front-loaded in the first sentence, followed by provenance, usage, filtering and scope. Every sentence contributes, though the provenance sentence is dense and could be split for readability.

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?

It covers scope, data provenance, the three-install agreement threshold, optional filtering and the sibling alternative. An output schema exists, so return-value detail is not required. Minor gaps remain around behaviour for unknown professions or coverage limits across professions, but the definition is complete enough to call correctly.

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 in the input schema. The description reinforces that recipe is a partial-name filter and that profession is singular, but adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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?

The description gives a specific verb and resource: it returns where one profession's recipes turn yellow, green and grey as skill ranges. It explicitly distinguishes itself from the sibling profession_path, which gives a step-by-step route between skill levels, so an agent can choose without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the use case directly: how long a recipe keeps giving skill points. Then it names the alternative, profession_path, and the condition that favours it. It also explains that the list can be narrowed with part of a recipe 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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