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Foodbe

foodbe_query

Ask a single food question and get a grounded, cited answer from Foodbe's fact-checked corpus. Refuses rather than guessing if no verified answer exists.

Input Schema

NameRequiredDescriptionDefault
questionYesThe food question to ask.
currentGroceryItemsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The description adds useful behavioral context beyond the annotations: it promises a grounded, cited answer and states that the tool refuses rather than guessing when no verified answer exists. However, it does not explain why readOnlyHint is false for a query-style tool, nor does it disclose any state or side effects.

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 tight sentences with the core purpose front-loaded and no wasted text. The refusal behavior is a useful second sentence rather than padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the primary question and answer behavior, including citations and refusal semantics, and there is no output schema so return-value explanation is limited. But it omits the purpose of 'currentGroceryItems' and does not reconcile the readOnlyHint=false annotation with the query-style operation.

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

Parameters2/5

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

Schema description coverage is 50%: the required 'question' parameter is documented, but 'currentGroceryItems' has no schema description and is not mentioned in the tool description. The description adds no meaning for that second parameter, leaving the agent unable to infer its role.

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 states a specific verb and resource: ask a single food question and receive a grounded, cited answer from a fact-checked corpus. It implies a single-question scope that distinguishes it from a likely bulk sibling like foodbe_query_all, but it does not explicitly differentiate from foodbe_ingredient.

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 phrase 'single food question' implies when to use this rather than foodbe_query_all, but the guidance is not explicit. There is no direct mention of foodbe_ingredient, and no when-not-to-use or alternative-routing guidance is provided.

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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