foodbe_ingredient
Get a structured profile of a specific ingredient: nutrition, allergens, diets, price, environmental impact.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The ingredient name, e.g. 'apple'. |
Get a structured profile of a specific ingredient: nutrition, allergens, diets, price, environmental impact.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The ingredient name, e.g. 'apple'. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish this is non-destructive and closed-world, but oddly set readOnlyHint=false for what is plainly a lookup, so the description carries some burden. The field enumeration (nutrition, allergens, diets, price, environmental impact) usefully signals the payload's breadth, but there is no output schema to confirm shape, units, or currency, and no failure behavior is described.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler, and the field list is a compact way to convey return content. Slightly list-like rather than explanatory, but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description does the minimum of naming the returned sections, which is the right move. It stops short of the details an agent would want for a one-parameter lookup with no documented response shape: unit/currency conventions, whether missing data returns partial results, or error behavior for unknown ingredients.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Only one parameter with 100% schema description coverage including an example, so the schema does the work. The description adds nothing about name matching, synonyms, or aliases beyond what the schema states.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Specific verb ('Get a structured profile') plus a specific resource ('a specific ingredient'), followed by an enumeration of what the profile contains. It implicitly contrasts with the sibling query tools by being a single-ingredient lookup rather than a search, but never names them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: 'a specific ingredient' suggests this is for known-name lookups versus foodbe_query/foodbe_query_all, but the description never says when to prefer this over those siblings or what happens if the name is unknown.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.