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calc_bubble_temperature_ideal_vapor_ideal_liquid

Find the bubble-point temperature at which a liquid mixture begins to vaporize under a given pressure, assuming ideal vapor and liquid behavior.

Instructions

The Bubble-Temperature (BT) calculation determines the temperature at which the first bubble of vapor forms when a liquid mixture is heated at a constant pressure. It is used to find the temperature for a given pressure at which the liquid will begin to vaporize.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pressureYesPressure of the system
componentsYesList of components with their properties
solver_methodNoMethod to use for solving the bubble temperature calculation. Options are 'root', 'least-squares', or 'fsolve'.root

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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 only describes the physical phase-equilibrium concept and does not mention the ideal vapor/liquid model assumption, iterative solving behavior, solver_method effects, or any numerical caveats.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences and front-loaded with the purpose, but the second sentence largely restates the first: both describe finding the temperature at which vaporization begins. It is not padded, but it is slightly redundant.

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?

The input and output schemas cover structured details, and the core definition is present. However, for a thermodynamic tool with several closely related siblings, the description is missing the ideal vapor/liquid assumption and explicit selection criteria, making it minimally adequate rather than complete.

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 pressure, components, and solver_method. The description adds no parameter-specific information beyond the physical context, which keeps this at the baseline for fully covered schemas.

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 states a specific verb and resource: 'determines the temperature at which the first bubble of vapor forms' at a constant pressure. It clearly identifies the bubble-temperature calculation, though it does not explicitly contrast with the sibling dew-point or bubble-pressure tools, so it lacks full sibling differentiation.

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

Usage Guidelines3/5

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

The description implies usage context: find the temperature for a given pressure at which a liquid begins to vaporize. However, it provides no explicit guidance about when not to use this tool versus the bubble-pressure, dew-temperature, or dew-pressure siblings.

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