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calculate_adiabatic_flame_temperature

Compute the adiabatic flame temperature for combustion using fuel, oxidizer, equivalence ratio, initial temperature, and pressure with Cantera mechanisms.

Instructions

Calculate the adiabatic flame temperature for combustion of a fuel with an oxidizer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the calculation without mentioning any behavioral traits such as assumed steady-state, reliance on a mechanism file, or that it uses Cantera. The description fails to disclose potential pitfalls like convergence issues or the need for initial temperature assumptions.

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

Conciseness2/5

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

The description is extremely short (one sentence), but given the tool's complexity (6 parameters, output schema, multiple siblings), it is under-specified. While brevity is desirable, the lack of structure and missing details makes it less helpful. It fails to earn its place by providing only minimal information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a complex input schema with 6 required parameters and an output schema, yet the description mentions none of these. It does not explain the required inputs (e.g., mechanism, fuel composition) or hint at return values. For a tool with such depth, the description is critically incomplete.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the tool description provides no information about parameters. Although the input schema itself has detailed descriptions, the description adds no value. It does not compensate for the low coverage by summarizing key parameters or their roles.

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 'adiabatic flame temperature', making the primary purpose obvious. However, it does not distinguish this tool from its siblings, such as 'compute_ignition_delay' or 'equilibrate', which might also involve temperature calculations.

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 alternatives. For example, it does not clarify that this tool is specifically for steady-state adiabatic flame temperature, while 'compute_ignition_delay' is for transient ignition. There are no exclusions or alternative recommendations.

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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