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temporal_thinking

Model systems and reason across time by defining states, events, and transitions. Analyze reachability, cycles, critical paths, and bottlenecks to validate temporal behavior.

Instructions

Modeling systems and reasoning across time using states, events, and transitions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for categorizing this model.
domainNoThe domain this model belongs to (e.g., 'business process', 'software system').
eventsYesA comprehensive list of all possible events that can occur.
statesYesA comprehensive list of all possible states in the system.
contextYesA comprehensive description of the system or process being modeled.
modelIdNoA unique identifier for this temporal model.
purposeNoThe purpose or goal of creating this temporal model.
versionNoVersion of this temporal model.
analysisNoAnalysis results of the temporal model.
scenariosNoTest scenarios for the temporal model.
complexityNoComplexity level of the temporal model.
validationNoValidation results of the temporal model.
finalStatesNoA list of states that are considered terminal or final.
transitionsYesA comprehensive list of all possible transitions between states.
completenessNoCompleteness score of the model.
initialStateYesThe name of the initial state of the system.
lastModifiedNoWhen this model was last modified.
sequenceDiagramNoGenerated sequence diagram showing temporal interactions between actors.
timeConstraintsNoTime-based constraints on the system.
globalConstraintsNoGlobal constraints that apply to the entire system.
generateSequenceDiagramNoWhether to automatically generate a sequence diagram from the temporal model.
Behavior2/5

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

With no annotations provided, the description bears full burden for behavioral disclosure. It only states the tool's purpose without revealing any behavioral traits such as whether it creates a model, requires external state, or has side effects. The schema implies an input-heavy operation, but the description does not confirm this.

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 that is front-loaded and concise. It communicates the core purpose without extraneous information. Every word earns its place.

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 tool's complexity (21 parameters, nested objects, no output schema), the description is too minimal. It does not explain what the tool returns, how to structure the model, or provide any integration context. The schema is rich, but the description adds no overview or guidance.

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%, so the baseline is 3. The description adds no parameter-level information beyond what the schema already provides, but it does not contradict or confuse. The description's brevity means it offers no additional semantic value for parameters.

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 does 'modeling systems and reasoning across time' using states, events, and transitions. This distinguishes it from sibling tools like 'domain_modeling' or 'critical_thinking' by focusing specifically on temporal aspects.

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. There is no indication of context, prerequisites, or when not to use it, leaving the agent to infer suitability from name and schema 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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