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sinagilassi

PyThermoCalcDB-NASA-MCP

by sinagilassi

calc_G_T

Calculate the Gibbs free energy of a chemical component using NASA-9 polynomials or custom reference data. Specify component, temperature, and state to obtain G(T) for thermodynamic analysis.

Instructions

Calculate component Gibbs free energy G_T using the embedded NASA-9 database by default, or caller-supplied reference_content when source='reference'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesRequest for a single-component NASA property calculation.

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 full burden for behavioral disclosure. It reveals that the tool uses a default database or custom reference content, but it does not mention side effects, authentication needs, rate limits, or error handling. The minimal disclosure limits the agent's ability to predict behavior.

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 with the core purpose. Every word earns its place; there is no redundancy or filler. It is an example of efficient communication.

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 (nested objects, many parameters, output schema exists) and the presence of sibling tools, the description is minimal. It does not mention the required temperature input or the component object structure, though those are covered in the schema. The description is adequate but could be improved by briefly noting that the tool operates on a single component and requires a temperature.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (baseline 3). The description adds value by clarifying that the default source is 'database' (NASA-9) and that reference_content is only needed when source='reference'. This relationship is not fully obvious from the schema alone, even though the schema's description for reference_content already states the condition. The added mention of 'NASA-9' provides useful context.

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 specific verb ('calculate') and resource ('component Gibbs free energy G_T'), and distinguishes from sibling tools like calc_H_T and calc_S_T by focusing on Gibbs free energy. The mention of using NASA-9 database or reference content further specifies the domain.

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 the tool is for calculating Gibbs free energy, but it does not explicitly state when to use it versus alternatives (e.g., calc_H_T for enthalpy). It lacks guidance on exclusions or prerequisites, 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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