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Upcoming reservations

reservation_summary
Read-onlyIdempotent

Reservation requests of your restaurant for the next 14 days grouped by day and status, with pending requests that still need an answer. Read-only; no guest contact details.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "reservation_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, non-destructive, and closed-world hints, so the description's 'Read-only' restatement adds little. However, it does add genuinely new behavioral facts: a fixed 14-day forward window, day/status grouping, and that guest contact details are excluded from the result — the last being important scoping information an agent cannot get from annotations.

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?

A single dense sentence plus a clarifying clause, front-loaded with the resource and time window. Every phrase carries information (scope, grouping, pending flag, read-only, excluded data) with no filler or redundancy.

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?

For a zero-parameter read tool with no output schema, the description supplies the essentials: what is returned, over what window, how it is organized, and what is deliberately omitted. Only a brief note on result size or pagination behavior would make it fully complete.

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 zero parameters there is no parameter semantics to explain, and the schema is fully self-describing (empty object, additionalProperties false). The description correctly implies a parameterless call and notes the fixed 14-day window rather than suggesting configurable filters that do not exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (reservation requests for your restaurant), a fixed scope (next 14 days), and the output shape (grouped by day and status, flagging pending requests). It is clearly distinct from sibling mutation tools like cancel_reservation or request_reservation, though it never explicitly names those alternatives.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the 14-day horizon and emphasis on 'pending requests that still need an answer' suggest a triage/overview use case. There is no explicit when-to-use vs. when-not-to-use guidance and no mention of get_reservation_slots, request_reservation, or cancel_reservation as related operations.

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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