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markswendsen-code

@striderlabs/mcp-yelp

yelp_get_menu

Retrieve the menu items and prices for a restaurant using its Yelp business ID. Access detailed pricing information to compare options.

Instructions

Get menu items and prices for a restaurant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
businessIdYesYelp business ID
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Get menu items and prices', implying a read operation, but does not explicitly confirm no side effects, permissions needed, or rate limits. An agent might need to assume it's safe, but the description lacks explicit transparency.

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 a single, concise sentence that directly states the tool's purpose with no unnecessary words. It is front-loaded and efficient.

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?

For a simple read tool with one parameter and no output schema, the description is functional but minimal. It does not describe the structure of the returned data (e.g., list of items with names and prices), which would improve completeness. Given the low complexity, a score of 3 is adequate but not exceptional.

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?

The input schema has 100% coverage with a description for the only parameter (businessId: 'Yelp business ID'). The tool description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 the tool's function: retrieving menu items and prices for a restaurant. The verb 'Get' and resource 'menu items and prices' are specific, and the tool is easily distinguished from siblings (e.g., yelp_get_reviews, yelp_get_hours) by its focus on menu data.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, when-not-to-use, or mention sibling tools. The agent must infer usage solely from the tool name and description.

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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