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davidmosiah

Wellness Nourish

Analyze food image

nourish_analyze_food_image
Read-onlyIdempotent

Analyze food images to identify foods via barcode, nutrition label OCR, or meal photo estimation for nutritional intake tracking.

Instructions

Route agent-provided food image observations across barcode, nutrition label OCR, or meal-photo estimation without logging.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoen-US
barcodeNo
meal_typeNoother
product_nameNo
detected_itemsNo
response_formatNojson
detected_barcodesNo
image_descriptionNo
barcode_observationNo
nutrition_label_textNo
Behavior3/5

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

Adds 'without logging', reinforcing readOnlyHint. Annotations already cover safety and idempotency. Lacks details on the routing mechanism or external calls, but nothing contradictory.

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?

Single sentence, front-loaded with purpose. No wasted words, but could benefit from structuring use cases or parameter roles.

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?

Despite high complexity (10 params, no output schema, multiple analysis routes), the description is too sparse to guide correct invocation. Parameter semantics are missing entirely.

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

Parameters1/5

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

Zero schema description coverage and the description provides no guidance on any of the 10 parameters, leaving the agent to infer from names alone.

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?

Description clearly states the tool routes food image observations across barcode, nutrition label OCR, or meal-photo estimation, and specifies it does not log. This distinguishes it from sibling tools that handle actual files or logging.

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?

Implies use when analysis without persistence is needed, but does not explicitly compare to alternatives like 'nourish_estimate_meal_photo' or 'nourish_lookup_barcode', nor states when not to use.

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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