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calc_gas_component_fugacity

Calculate gas component fugacity using Peng-Robinson, Soave-Redlich-Kwong, Redlich-Kwong, or van der Waals equations of state for thermodynamic modeling.

Instructions

This function calculates the fugacity of single-gas component using different equation of states (EOS) including Peng-Robinson (PR), Soave-Redlich-Kwong (SRK), Redlich-Kwong (RK), and van der Waals (vdW).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentYesComponent name and properties
temperatureYesTemperature of the system
pressureYesPressure of the system
eos_modelNoEOS model to use, e.g., 'SRK', 'PR'SRK
solver_methodNoSolver method for fugacity calculation, e.g., 'least-square method', 'fsolve', 'root'ls
custom_reference_contentNoCustom reference content provided by PyThermoDB, this consists of data and equations for all components.None
custom_reference_configNoCustom reference configuration provided by PyThermoDB, this consists of the reference for data and equations for each component.None

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions the calculation method (EOS models), it doesn't describe what the tool returns, potential side effects, error conditions, computational complexity, or any behavioral traits. For a scientific calculation tool with 7 parameters, this is a significant gap in transparency.

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 that states the core purpose. It's appropriately sized for the tool's complexity, though it could be slightly more structured by front-loading the most critical information about single-gas component focus.

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

Completeness3/5

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

Given the tool's complexity (7 parameters, scientific calculation) and the presence of an output schema, the description is minimally adequate. However, with no annotations and multiple sibling tools, it should provide more context about when to use this specific tool versus alternatives and what the calculation entails. The output schema existence reduces the need to describe return values, but other contextual gaps remain.

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 schema already documents all parameters thoroughly. The description adds minimal value beyond the schema - it mentions the EOS models (which are already in the schema's enum) but doesn't provide additional context about parameter interactions, default behaviors, or practical usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the function's purpose: 'calculates the fugacity of single-gas component using different equation of states'. It specifies the resource (single-gas component fugacity) and the method (EOS models: PR, SRK, RK, vdW). However, it doesn't explicitly differentiate from sibling tools like 'calc_fugacity_gas_mixture' or 'calc_liquid_component_fugacity', which would require a 5.

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 are clear sibling tools for gas mixtures and liquid components, but the description doesn't mention these distinctions or provide any context about appropriate use cases, prerequisites, or limitations.

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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