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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.

Input Schema

TableJSON 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 declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuinely new context: the 14-day window, day/status grouping, and that guest contact details are excluded from the payload.

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 sentence that front-loads the resource, scope, and grouping, then appends the two facts an agent most needs (pending-request handling, read-only/contact-data exclusion). No waste.

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?

With no output schema, the description carries the return-shape burden and does so reasonably: grouping dimensions, time window, and excluded data are stated. It could say more about ordering or volume, but nothing essential is missing for a parameterless read tool.

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?

Zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate beyond what the (empty) schema already communicates.

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?

Specific verb+resource: it returns reservation requests for the restaurant grouped by day and status over a fixed 14-day window. This clearly separates it from siblings like get_reservation_slots (availability lookup) and request_reservation (creation), though it never names an alternative explicitly.

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 mention of 'pending requests that still need an answer' signals this is the view for triaging incoming bookings, but there is no explicit when-to-use/when-not guidance or named alternative among the 20+ siblings.

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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