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Orders summary (7 and 30 days)

sales_summary
Read-onlyIdempotent

Order counts by status, order total sums, top products by quantity and busiest hours for the last 7 and 30 days of your restaurant. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description's 'Read-only' merely restates an annotation and it adds no auth, rate-limit, caching, or freshness context. It does describe the shape of the aggregated content returned, which is modest added value.

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?

A single front-loaded sentence that leads with the metric list and closes with the time scope and a one-word safety note. It is dense rather than wasteful, though the appended 'Read-only' is redundant with the annotations and slightly lengthens an otherwise tight statement.

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 parameters and no output schema, the description should describe the returned data, and it does enumerate the aggregates (status counts, totals, top products, peak hours) over fixed windows. An agent has enough to know what calling it yields, though the exact response format and any empty-state behavior are left implied.

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?

The tool takes no parameters and schema coverage is 100%, so there is nothing for the description to compensate for. The description correctly avoids inventing parameters and just characterizes the fixed 7- and 30-day windows.

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 analytical resource and enumerates the exact metrics produced: order counts by status, total sums, top products by quantity, and busiest hours, scoped to 7- and 30-day windows. This clearly distinguishes it as the sales-analytics tool among siblings, though it never names an alternative it is not (e.g., get_order_status for a single order).

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?

There is no explicit when-to-use or when-not-to-use guidance and no routing to a sibling such as reservation_summary or get_order_status. The 7/30-day window is the only usage context offered, so an agent must infer that this is a reporting/overview tool.

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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