Skip to main content
Glama

Moddable Games Tools

chess_generate_puzzle

Get a random chess puzzle. Filter by variant or difficulty. Variant puzzles have no themes and max rating 1400 — theme and hard difficulty filters only apply to standard puzzles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
themeNoPuzzle theme (fork, pin, skewer, mateIn2, etc). Only standard puzzles carry themes.
variantNoChess variant slug, camelCase or kebab-case (e.g. antichess, almost-chess, atomic, chess960, standard). Returns only puzzles for this variant.
difficultyNoPuzzle difficulty (variant puzzles max at 1400, so hard returns nothing for variants)

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It discloses a key limitation (variant puzzles have no themes, max rating 1400, hard difficulty only applies to standard) but does not mention return format, error behavior, or state effects.

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?

Two crisp sentences. The first states the main action and filters; the second explains an important edge case. Every word contributes, and key information is front-loaded.

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 simple random-getter tool with three optional params and no output schema, the description covers the essential filtering constraints and variant limitations. It lacks explicit return-value or no-match behavior details, but is otherwise reasonably complete.

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?

Schema coverage is 100%, so baseline is 3. The description adds valuable cross-parameter semantics: it clarifies how variant interacts with theme and difficulty, which the individual schema descriptions do not fully convey.

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 uses a specific verb 'Get' with a clear resource ('random chess puzzle') and immediately names the filtering dimensions (variant, difficulty). This distinguishes it from siblings like chess_list_puzzle_types and chess_analyze_position, which serve different purposes.

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

Usage Guidelines4/5

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

It provides clear usage context by stating how to filter and what to expect for variant puzzles. It does not explicitly name alternative tools or when-not-to-use conditions, but the context is strong enough for an agent to know when this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.1/5.0
Disambiguation3/5

Most tools have clear prefixes (chess_, play_, hex_, oracle_, rpg_, ti4_) that separate concerns, but overlap exists between deprecated chess_* tools and the newer play_* equivalents, plus rpg_random_encounter and oracle_encounter both generate encounters. Descriptions help disambiguate, but the redundancy could mislead agents.

Naming Consistency2/5

Many tools follow a domain_verb_noun pattern (hex_generate_map, play_get_moves, rpg_search_entities), but there are notable exceptions like dice_roll, game_deck_create, jam_status, and random_player_order that mix noun-first and verb-last conventions. The inconsistent ordering makes it harder to predict tool names.

Tool Count2/5

81 tools is excessive even for a broad games toolkit; the deprecated chess_* tools alone add unnecessary bulk. While the scope is wide, the count exceeds practical limits and could be consolidated into fewer, more focused tools.

Completeness4/5

The toolkit covers a wide variety of game needs: dice, cards, hex maps, chess, RPGs, TI4, jam management, and galleries. Minor gaps like the score tracker lacking a retrieval method and the absence of some lifecycle operations keep it from being perfect, but core workflows are well covered.