Get the food menu for a specific restaurant on this site. Returns menus with their sections, dishes, descriptions, prices, and dietary labels (vegan, gluten-free, etc). Use search_places or list_categories first to find the restaurant's place_slug.
| Name | Required | Description | Default |
|---|---|---|---|
| place_slug | Yes | The slug of the restaurant, e.g. "bar-do-ze" (from search_places or a place URL). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Describes return content (sections, dishes, prices, dietary labels) but omits details on error handling, performance, or access rights. Adequate for a simple read operation, but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no filler. Every sentence adds value: defines the tool's purpose and provides usage guidance. Highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description covers purpose, prerequisite steps, and return fields. Lacks details on response structure but sufficient given tool simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, baseline 3. Description adds value by suggesting how to obtain the place_slug ('from search_places or a place URL'), making the parameter meaning clearer.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Get the food menu for a specific restaurant on this site.' The verb 'Get' and resource 'food menu' are specific, and it distinguishes from related tools like search_dishes or list_categories.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to use search_places or list_categories first to obtain the place_slug, providing clear prerequisite context. Does not list when not to use, but the guidance is sufficient for basic usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action and domain, with clear descriptions preventing confusion. Similar tools like create_booking, request_reservation, reserve_event_tickets, and rsvp_event are differentiated by service type and workflow.
All tools follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_categories), ensuring predictability and ease of use for agents.
With 28 tools, the set is fairly large but appropriate for a comprehensive neighborhood directory covering multiple domains (places, events, booking, store, forms, etc.). Each tool serves a distinct purpose without redundancy.
The tool surface covers the full lifecycle of common user needs: search and discovery, detailed info, reservations, purchases, and interactions (forms, FAQs). No obvious gaps for the described purpose of a neighborhood directory.