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Search Balance IT food catalogue

search_foods

Search Balance IT's food database to find pet foods matching your query. Results include curated and USDA reference foods filtered by species and life stage.

Instructions

Fuzzy search over Balance IT's food database. Returns curated 'm*' rows plus USDA reference foods. HTTP endpoint, sub-second.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
speciesYes
Behavior3/5

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

With no annotations, the description carries the full burden. It reveals that results include curated 'm*' rows and USDA reference foods and mentions sub-second performance. However, it does not explain what 'm*' means, the result format, or error/empty behavior, leaving notable gaps.

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?

The description is compact and front-loaded with the primary purpose. Each sentence adds information, though the 'HTTP endpoint' detail is somewhat redundant in an MCP context. Overall, it is well-structured and free of fluff.

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 tool is relatively simple (2 parameters, no output schema), and the description provides the core purpose and return composition. However, it lacks parameter semantics and any indication of the response structure, so the agent may struggle to invoke it correctly and interpret results fully.

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?

Schema description coverage is 0%, and the description does not mention the 'query' or 'species' parameters at all. The agent must rely on a bare schema with no parameter descriptions, making it impossible to infer parameter meaning or formatting from the description.

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 uses the specific verb 'Fuzzy search' and names the resource 'Balance IT's food database.' It also clarifies the result composition (curated 'm*' rows plus USDA reference foods), which clearly distinguishes it from sibling tools like list_catalogue or get_recipe.

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?

Usage is only implied: if you need to search for foods, this is the tool. There is no explicit mention of when to use it instead of alternatives, nor any exclusion criteria. Sibling tools are not referenced for differentiation.

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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