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SamSoupSauce

deterministic-logic

by SamSoupSauce

simulate_state_machine

Simulate a sequence of inputs step-by-step through a deterministic state machine to verify expected transitions and final state.

Instructions

Simulates a sequence of inputs step-by-step through a state machine deterministically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transitionsYesList of state transitions
initialStateYesInitial starting state
inputSequenceYesSequence of input tokens to execute
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only mentions 'deterministically' but fails to describe what happens on undefined transitions, whether it returns a final state or full path, or any side effects. This is insufficient for reliable tool usage.

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?

The description is a single sentence of 12 words, conveying the core functionality without any fluff. It is appropriately front-loaded with the key verb and resource, making it efficient for an agent to parse.

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 the complexity of state machine simulation (3 required params, no output schema, related siblings), the description lacks details about return value, error handling, and input constraints. It is too terse to fully prepare an agent for correct invocation.

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 each parameter having a brief description. The tool description adds no extra meaning beyond the schema. Baseline 3 is appropriate as the schema already documents the parameters adequately.

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

Purpose4/5

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

The description clearly states that the tool simulates inputs step-by-step through a state machine deterministically. It specifies the verb and resource, but does not explicitly distinguish from sibling tools like analyze_state_machine or verify_state_reachability, which are related but not focused on simulation.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention use cases, prerequisites, or situations where other tools are preferred, leaving the agent to infer context from the tool name 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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