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sinagilassi

PyThermoCalcDB-NASA-MCP

by sinagilassi

calc_dS_rxn_STD

Calculate the standard entropy change of a chemical reaction using the NASA-9 database or user-provided reference data.

Instructions

Calculate standard entropy 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

Behavior3/5

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

With no annotations provided, the description carries the full transparency burden. It reveals the data source choice (NASA-9 database vs reference_content) but omits side effects, error handling, permission needs, or what happens with incomplete inputs. This is adequate but not comprehensive for a 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?

A single sentence that is front-loaded with the verb and resource. No fluff or repetition. Could be slightly more structured (e.g., noting that standard state conditions apply) but overall efficient.

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 output schema exists so return values need not be described. However, the description misses high-level context like standard state conditions (1 bar), implicit temperature range validity, or required reaction balancing. The comprehensive schema compensates but the description alone is thin.

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 meaning by specifying the default database ('NASA-9') and conditionally exposing reference_content usage via the source parameter. This goes beyond the schema's enum descriptions and helps the agent understand the data source mode.

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 entropy change of reaction', with a specific verb and resource. It differentiates from sibling tools (calc_dH_rxn_STD, calc_dG_rxn_STD) through the dimension 'entropy' but does not explicitly call out 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?

No guidance is given on when to use this tool versus alternatives like calc_dH_rxn_STD or calc_dG_rxn_STD. The description only explains the data source modes (database vs reference) but lacks explicit context on experimental design or prerequisites.

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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