wordle-solver

get_game_stats

Retrieve pre-game state for a Wordle match, including guess dictionary size, eligible answer count, and starting uncertainty in bits, to set up optimal opening moves before any guess is made.

Instructions

Get the state of a Wordle game before any guess has been made.

Call this at the START of a game, before the first guess: it returns the size of the guess dictionary, how many words are eligible answers, and the starting uncertainty in bits. Do not call recommend_guesses with an empty guess history - scoring the full dictionary is too expensive, so open with a standard high-information first word instead.

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_game_stats"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Aug 3, 2026

TDQS

A4.5/5.0

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool is a read-only stats getter (safe, non-mutating), and contextualizes the output fields (dictionary size, eligible answers, uncertainty in bits). While it doesn't describe return format details, the description sufficiently conveys the read-only nature and what data it surfaces for a game-state tool with no destructive behavior.

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 description is well-structured and front-loaded, with the core purpose stated first and usage guidance following. Every sentence adds value. Slightly more verbose than necessary but justified by the important exclusion guidance regarding the sibling tool.

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?

This is a simple 0-parameter, read-only stats tool with no output schema. The description explains what data it returns (dictionary size, eligible answers, uncertainty), when to use it, and importantly warns against the expensive alternative path. This is functionally complete for its scope.

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 has 0 parameters. With no parameters to document, the baseline is 4. There is nothing the description needs to add about parameter syntax since none exist.

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 clearly states the tool gets the state of a Wordle game (guess dictionary size, eligible answer count, starting uncertainty in bits). The verb 'get' plus resource 'game state' is specific and distinct from the sibling recommend_guesses, which focuses on suggesting guesses.

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?

The description explicitly says to call this at the START before the first guess, and provides an explicit exclusion: do NOT call recommend_guesses with an empty guess history because scoring the full dictionary is too expensive, so open with a standard high-information first word instead. This clearly delineates when to use this tool vs. the sibling.

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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