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x402-charles-law

Charles Law: Charles law (gas volume vs temperature).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
initialVolumeNoInitialVolume to process
finalTemperatureNoFinalTemperature to process
initialTemperatureNoInitialTemperature to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / finalTemperature
      Added value: +{
      +  "description": "FinalTemperature to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / initialTemperature
      Added value: +{
      +  "description": "InitialTemperature to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / initialVolume
      Added value: +{
      +  "description": "InitialVolume to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it discloses almost nothing: no statement of what the tool returns, no units convention (Kelvin vs Celsius is decisive for Charles's law), no note on string-input parsing or error behavior. The physics parenthetical is the only behavioral signal.

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

Conciseness3/5

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

Very short, which is good, but the opening 'Charles Law: Charles law' is a redundant restatement of the name and the parenthetical is thin. Brevity here reflects under-specification rather than disciplined editing.

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

Completeness2/5

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

For a three-parameter scientific calculator with no annotations and no output schema, the description should at minimum say which quantity is solved for, the required units, and the underlying relation V1/T1 = V2/T2. None of that is present, leaving the agent unable to call it correctly.

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

Parameters2/5

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

Schema description coverage is nominally 100%, but every schema description is a placeholder ('InitialVolume to process'), so the structured metadata adds no real meaning and the description does not compensate. Critically, it never states that the result is the missing final volume or what temperature scale the string inputs must use.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the concept and adds a topical gloss ('gas volume vs temperature'), which tells an agent the domain but not the operation — there is no verb and no statement of what is computed (final volume from V1, T1, T2). It is one step above a pure name restatement, but it does not let an agent distinguish it operationally from siblings such as x402-boyle-law or x402-ideal-gas.

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 when-to-use guidance, no prerequisites, and no mention of alternatives despite many adjacent gas/thermo tools (x402-boyle-law, x402-ideal-gas, x402-temperature-convert) in the sibling list. The agent is left to infer applicability entirely from the tool name.

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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