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nutripulse

Access PubMed-grounded nutrition research, supplement analysis, food database lookups, and personalized plans for metabolic and longevity health.

Instructions

NutriPulse: Global nutrition intelligence API. PubMed-grounded supplement analysis, macro/micronutrient planning, food database lookups, glucose/metabolic health guidance, lab result interpretation, longevity nut

Coverage: Global

Endpoints: • research ($0.10): Nutrition research synthesis • food ($0.10): Food nutrition profile • supplement ($0.10): Supplement analysis • plan ($0.10): Personalized nutrition plan • compare ($0.10): Food comparison • analyze ($0.10): Meal analysis • stack ($0.10): Supplement stack

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhich endpoint to call. Options: research | food | supplement | plan | compare | analyze | stack
langNolang
topicNotopic
queryNoquery
nameNoname
goalNogoal
caloriesNocalories
dietNodiet
foodsNoComma-separated food names e.g. chicken,beef,tofu
mealNomeal
budgetNobudget
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'PubMed-grounded' and 'Global coverage' but does not disclose key behavioral traits such as authentication requirements, rate limits, or what happens on errors. For a tool with multiple sub-actions and no output schema, more transparency is needed.

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?

The description is moderately concise but messy: it starts with an incomplete sentence ('longevity nut...') then switches to a bullet list. The front-loading is reasonable (name and coverage), but the cut-off reduces readability. It could be more polished.

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?

With 11 parameters, 1 required, no output schema, and no annotations, the description should clarify return values, required combinations of parameters per endpoint, and any constraints. It only lists endpoint names and costs, leaving the agent uncertain about how to invoke each endpoint correctly and what to expect.

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?

The input schema has 100% description coverage for all 11 parameters, so the schema already defines each parameter. The description adds endpoint costs and examples (e.g., 'Comma-separated food names'), but does not add significant meaning 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.

Purpose4/5

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

The description clearly states it's a nutrition intelligence API with PubMed grounding. It lists multiple endpoints (research, food, supplement, etc.) that differentiate it from sibling tools like alphapulse or fitpulse, which are for other domains. However, the description is cut off ('longevity nut') and could be more explicit about the verb (e.g., 'Provides nutrition intelligence via endpoints').

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?

The description implies usage for nutrition-related queries but does not explicitly state when to use NutriPulse over its many sibling tools. It lacks guidance on when not to use or alternative tools. The endpoints provide context but no comparative guidance.

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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