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sinagilassi

PyThermoCalcDB-NASA-MCP

by sinagilassi

calc_dG_rxn_STD

Calculate the standard Gibbs free energy change for chemical reactions using NASA-9 polynomial data or custom reference sources.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesRequest for a reaction 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool uses the NASA-9 database by default and accepts caller-supplied content, but it does not mention any side effects, error handling, required permissions, or what happens if the reference content is missing or invalid. For a calculation tool, this is minimal but not misleading, hence a 2.

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 18 words, front-loading the main purpose and then concisely noting the two data-source modes. No superfluous words or repetition. It is as efficient as possible.

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 complexity of the input schema (nested object with many required subfields), the description is very terse. It does not summarize the inputs or provide an example. However, the schema descriptions are complete, and an output schema exists (so return values are covered). The description is adequate but could be more helpful by briefly listing required inputs or clarifying the reaction format.

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 the context that the default database is 'NASA-9', which is not in the schema's source parameter description. However, this is a minor addition. The description does not elaborate on any other parameters, leaving the schema to carry the full semantic load, which it does 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 the tool calculates standard Gibbs free energy change of reaction, with a specific verb ('Calculate') and resource ('standard Gibbs free energy change of reaction'). It distinguishes between two data sources (embedded NASA-9 database vs. caller-supplied reference). However, it does not explicitly differentiate this tool from its siblings (e.g., calc_dH_rxn_STD, calc_dS_rxn_STD), though the name alone implies the distinction.

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 its siblings or alternatives. It mentions two modes (database vs. reference) but lacks criteria for choosing one over the other, nor does it explain prerequisites or conditions for use. No 'when to use' or 'when not to use' statements are present.

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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