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Dilution Calculator

calculator_dilution
Read-only

Solve C1V1 = C2V2 for any one missing value (volumes L/mL).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "calculator_dilution"
  }
}

Input Schema

NameRequiredDescriptionDefault
c1NoInitial concentration (M).
c2NoFinal concentration (M).
v1NoInitial volume (L or mL).
v2NoFinal volume (L or mL).

Output Schema

NameRequiredDescriptionDefault
c1No
c2No
v1_LNo
v2_LNo
expressionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, so the safety profile is covered. The description adds the meaningful constraint that exactly one value should be omitted, but says nothing about what happens if two are missing or if L and mL are mixed in the same call — a real risk given all four parameters are optional.

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?

A single front-loaded sentence carrying the formula, the solve-for-any variable behavior, and the unit note. Nothing to trim and nothing buried.

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

Completeness4/5

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

With an output schema present and full parameter descriptions, the definition is nearly complete. The remaining gap is error/unit-mixing behavior for an all-optional four-parameter solver, which matters more here than for a typical calculator.

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 the baseline is 3; the description earns a bump by clarifying the syntactic contract of the four optional parameters — exactly one must be left out — which the schema cannot express. The "(volumes L/mL)" note reinforces that v1/v2 accept unit strings, though it doesn't say whether c1/c2 must share units.

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?

Names a specific operation (solve C1V1 = C2V2) and the resource (dilution volumes), so an agent knows exactly what is computed. It does not differentiate itself from near neighbors like calculator_concentration or calculator_molarity, which an agent could plausibly pick by mistake.

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?

"For any one missing value" implies the usage pattern (supply three of four, omit one), but the description never states when to choose this over calculator_concentration or calculator_molarity, nor any prerequisites such as unit consistency.

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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