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Calculate peptide reconstitution and syringe units

calculate_reconstitution

Given a lyophilized vial size, a volume of bacteriostatic water and a target dose, return the resulting concentration, the volume to draw, and the reading on a U-100 insulin syringe. Use for peptide and compounded GLP-1 dosing arithmetic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dose_mgYesTarget dose, in mg (1 mg = 1000 mcg)
vial_mgYesPeptide in the vial, in mg
bac_water_mlYesBacteriostatic water added, in mL

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the inputs and outputs and mentions the U-100 insulin syringe, adding scope context. However, it does not describe potential error behavior, rounding rules, or the underlying formula, leaving some behavioral aspects implicit 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.

Conciseness5/5

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

The description is two sentences, front-loaded with the core calculation statement followed by a brief usage scope. Every sentence adds value without redundancy or fluff.

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?

Despite being a simple tool with no output schema, the description adequately explains the return values (concentration, volume to draw, syringe reading) and usage context. It could be more explicit about units and potential rounding or validation behavior, but overall it is complete enough for the tool's complexity.

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 description coverage is 100%, with each parameter (vial_mg, bac_water_ml, dose_mg) described in the schema. The description only paraphrases these as 'lyophilized vial size,' 'volume of bacteriostatic water,' and 'target dose,' adding no new semantic detail beyond the schema. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool 'calculate peptide reconstitution and syringe units' with a specific verb and resource, and enumerates the outputs (concentration, volume to draw, syringe reading). It distinguishes itself from sibling tools (get_article, search_articles) by focusing on arithmetic rather than information retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use for peptide and compounded GLP-1 dosing arithmetic,' providing clear context for when the tool is appropriate. It does not explicitly state when not to use it or name alternatives, but the sibling tools are clearly unrelated, so the guidance is sufficient for a simple calculator.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: calculate_reconstitution handles dosing math, search_articles finds blog posts, and get_article retrieves a specific article by slug. There is no overlap in functionality, so an agent can easily select the right tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case: calculate_reconstitution, get_article, search_articles. This makes the tool set predictable and easy to navigate.

Tool Count4/5

Three tools is slightly small but appropriate for a niche server that combines a reconstitution calculator with blog content retrieval. Each tool serves a distinct purpose and none are redundant, though the set feels a bit minimal.

Completeness4/5

The calculator covers the core reconstitution math, and the blog tools allow searching and fetching articles. Minor gaps exist, such as no way to list all articles or handle other types of dosing calculations, but the surface is workable for the intended use case.

Resources