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get_menu

Fetch a venue's full menu by slug, returning categories and items with prices in minor units. Includes deal signals like original price and 30-day lowest price.

Instructions

Fetch a venue's full menu by slug. Returns categories and items with prices in minor units (e.g. 2390 = 23.90 EUR in Estonia). Each item includes price, original_price (if discounted), lowest_price (30-day low used for compliance), description, enabled, and tags. A category named 'ERIPAKKUMISED' (Estonian) or similar typically holds current deals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesVenue slug, e.g. 'vapiano-foorum'
languageNoPreferred language code, e.g. 'en', 'et'en
include_disabledNoInclude items marked disabled/out-of-stock

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses return format details (categories, items, price fields in minor units, special category for deals). It adds behavioral context beyond schema, though it omits potential side effects or auth requirements.

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 a single, efficient paragraph that front-loads the main action. It is concise with no redundancy, though structure could be slightly improved with bullet points for clarity.

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

Completeness5/5

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

Given the presence of an output schema (implied) and 3 parameters, the description covers essential return fields and a special note about deal categories. It is complete for effective tool usage.

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 100%, so the schema already describes all 3 parameters. The description only re-emphasizes the slug with an example, adding negligible value beyond structured metadata.

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 action ('Fetch a venue's full menu by slug'), specifies the resource (venue menu), and distinguishes from the sibling tool list_nearby which likely deals with nearby venues rather than menu details.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., list_nearby) or when not to use it. It only explains what the tool does without contextual usage cues.

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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