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AnanseLabs-Org

BulkClix MCP Server

find_food_items

Read-only

Search for food items, dishes, or menus from verified vendors. Find pizza, burgers, or any specific meal by query.

Instructions

Search for food items, dishes, pizza, rice, chicken, or menus across all verified vendors or a specific vendor. Use this when asking 'what food is available', 'show me the menu', 'do you have pizza', 'search menu for burger'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
vendor_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already declare read-only, open-world, non-destructive behavior. Description adds only example search terms, not additional behavioral details like pagination, result limits, or error handling.

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?

Two sentences, front-loaded with purpose, no redundant information. Efficient and clear.

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

Completeness4/5

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

Adequate for a search tool with annotations and output schema present. Covers scope and use cases; missing details on empty results or error cases, but acceptable.

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?

Schema coverage is 0%, but description hints at vendor_id usage and query examples. Doesn't specify query format or constraints, so adds moderate value.

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 clearly states 'Search for food items, dishes, pizza, rice, chicken, or menus' with specific verb and resource, and provides example queries that distinguish it from sibling tools like search_food_menus.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit example queries and mentions scope (all vendors or specific vendor via vendor_id). Lacks explicit when-not-to-use or comparison to siblings, but gives clear context.

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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