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sinagilassi

PyThermoCalcDB-NASA-MCP

by sinagilassi

calc_Keq

Calculate reaction equilibrium constants (Keq) using NASA-9 thermodynamic data or custom reference content. Specify reaction, components, and temperature for accurate results.

Instructions

Calculate reaction equilibrium constant Keq 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 exist, so the description must carry the full burden of behavioral disclosure. It states the tool calculates Keq using specified data sources, but does not mention whether the tool is read-only, what permissions are needed, how errors are handled, or any side effects. This is a significant gap for a complex calculation tool.

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, front-loaded sentence that efficiently conveys the core purpose and the key usage condition. While it is very concise, it could benefit from briefly mentioning the sibling tool or additional context without losing efficiency.

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 (many parameters, nested objects, output schema exists), the description is minimal. It covers the main data source distinction but lacks details on calculation methodology, error handling, and how it relates to the sibling tool. The presence of an output schema reduces the need to describe return values, but more context would improve usability.

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 coverage is 100%, so baseline is 3. The description adds value by explaining the conditional use of 'reference_content' when 'source' is set to 'reference', and clarifies that the default uses the embedded NASA-9 database. This enriches the parameter semantics beyond the schema alone.

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 verb 'Calculate' and the resource 'reaction equilibrium constant Keq', distinguishing between two data sources (default NASA-9 database and caller-supplied reference content). However, it does not differentiate from the sibling tool 'calc_Keq_vh_shortcut', which may serve a similar purpose.

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 conditions usage on the 'source' parameter, indicating when to use the database vs. reference content. However, it provides no guidance on when to use this tool over its sibling 'calc_Keq_vh_shortcut', nor does it mention prerequisites or exclusions.

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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