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simulate_playthrough

Test ice puzzle solutions by simulating complete move sequences to verify level solvability and identify potential issues.

Instructions

Simulate a full sequence of moves

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
movesYesSequence of moves
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'simulate' but doesn't disclose behavioral traits such as whether it's read-only or mutates state, what the simulation output includes (e.g., success/failure, positions), or any side effects like rate limits. This leaves the agent guessing about critical operational details.

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 a single, efficient sentence with no wasted words, making it easy to parse. However, it's front-loaded but under-specified—it could benefit from slightly more detail without losing conciseness, as it currently feels too brief for clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete for a simulation tool. It lacks context on what the simulation entails (e.g., game mechanics, level state), expected outputs, or error conditions. For a tool that likely interacts with game levels (based on siblings), this leaves significant gaps for the agent.

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 description coverage is 100%, with the 'moves' parameter fully documented in the schema as an array of enum strings. The description adds no meaning beyond this, as it doesn't explain the purpose of the moves (e.g., directional inputs for a game) or constraints (e.g., maximum length). Baseline 3 is appropriate since the schema does the heavy lifting.

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

Purpose3/5

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

The description 'Simulate a full sequence of moves' states the verb ('simulate') and resource ('sequence of moves'), but it's vague about what exactly is being simulated (e.g., a game level, character movement, puzzle solution). It doesn't distinguish from sibling tools like 'simulate_move' (single move) or 'solve_level' (find solution), leaving ambiguity in scope.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't clarify if this is for testing level designs, predicting outcomes, or debugging, nor does it mention prerequisites like needing a level loaded first. The agent must infer usage from context alone.

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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