Skip to main content
Glama

Reservation slots

get_reservation_slots
Read-onlyIdempotent

List bookable 30-minute reservation slots for the next 1–7 days (venue timezone) for a listed restaurant with a reservation module. busy_count is the number of existing requests at that slot and is informational. A reservation is a REQUEST that the restaurant confirms; no per-slot capacity cap is configured, so busy_count is informational only. Never tell the guest a table is guaranteed or "available" — say the request will be sent and the restaurant will confirm. PUBLIC tool, no auth.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "restaurant": "<restaurant>"
    },
    "name": "get_reservation_slots"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNo
restaurantYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), yet the description still adds substantial behavioral context: busy_count is informational only because no per-slot capacity cap exists, and slots must never be presented to guests as guaranteed availability. The 'PUBLIC tool, no auth' note removes any auth preflight the agent might otherwise attempt.

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?

Front-loaded with the core action and scope, then caveats, then the guest-facing constraint — a sensible order. The one weakness is redundancy: busy_count being 'informational' is asserted twice in near-identical phrasing, which could be collapsed into a single sentence.

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?

There is no output schema, so the description appropriately explains the one notable return field (busy_count) and its non-binding nature, plus the guest-communication rule and auth posture. For a two-parameter read tool this covers everything an agent needs to call it and interpret the result correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage the description must carry parameter meaning, and it does: 'days' is bounded to 1–7 in venue timezone, and 'restaurant' must be a listed venue that has a reservation module. It does not clarify whether 'restaurant' expects a name, slug, or ID, which is the one remaining ambiguity for a required parameter.

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?

States a specific verb and resource — 'List bookable 30-minute reservation slots' — with scope pinned down (next 1–7 days, venue timezone, restaurant must have a reservation module). It is clearly separable from request_reservation (which files the request) and get_restaurant (which describes the venue), so an agent can choose it without opening the schema.

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?

Gives a clear precondition for use ('for a listed restaurant with a reservation module') and clarifies the discovery-then-request flow by explaining that a reservation is a request the restaurant confirms. It stops short of explicitly naming request_reservation as the follow-up action or stating when not to call it (e.g., venue without a reservation module), so it is clear context rather than full when/when-not routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources