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PeptaraLabs

Reconstitution Calculator MCP Server

by PeptaraLabs

Reconstitution concentration

reconstitution_concentration
Read-onlyIdempotent

Calculates concentration of a lyophilized powder after adding diluent, reporting mg/mL and mcg/mL, and optionally the volume needed for a target amount.

Instructions

Concentration of a lyophilized powder after adding a diluent volume, in mg/mL and mcg/mL. Optionally gives the volume in mL and µL that holds a wanted amount. For laboratory calculations only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
diluent_mlYesVolume of diluent added, in mL. Must be greater than 0.
powder_unitNoUnit of powder_amount. Default mg.
wanted_unitNoUnit of wanted_amount. Default mcg.
powder_amountYesMass of powder in the vial. Must be greater than 0.
wanted_amountNoOptional mass you want to draw out. Must be greater than 0.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, covering the full safety profile. The description adds useful context about the dual output (concentration plus the volume holding a wanted amount) and the lab-only scope, but says nothing about invalid-input handling or edge cases.

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?

Two tight sentences, front-loaded with the core computation and followed by the optional secondary output and a scope caveat. No filler or redundancy; each clause carries information.

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 no output schema, the description carries the return-value burden and does so reasonably well by naming the concentration units and the optional volume output. Annotations cover safety and the schema covers all parameters, so the only real gap is the absence of guidance relative to sibling calculation tools.

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

Parameters3/5

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

Schema coverage is 100%, so all five parameters are already documented. The description adds marginal meaning by linking the optional wanted_amount to the volume output ('the volume in mL and µL that holds a wanted amount'), which clarifies that parameter's role beyond the schema, but the rest of the parameter semantics are left to the schema.

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 names a specific computation (concentration of a lyophilized powder after adding diluent) and states the output units (mg/mL and mcg/mL), so an agent knows exactly what it produces. It does not, however, explicitly differentiate itself from siblings like dilution_c1v1 or serial_dilution, which is the only thing keeping it from a 5.

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?

Usage is only implied by the scenario ('reconstitution of a lyophilized powder') and the scope caveat 'For laboratory calculations only'. There is no explicit when-to-use statement, no exclusions, and no routing to sibling tools such as dilution_c1v1 or molarity, leaving the agent to infer the correct choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.