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get_orders_summary

Read-only

Aggregated stats for the orders dashboard: counts of orders pending approval / awaiting payment / in fulfillment / shipped today, plus today's revenue and profit, and a per-store breakdown. Read-only.

[#88d8a4]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNoWorkspace uuid to scope to (agency accounts). Omit for the Default workspace.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered; the description redundantly confirms "Read-only." More valuably, because no output schema exists, the enumeration of returned metrics (counts by status, today's revenue/profit, per-store breakdown) is real behavioral disclosure about what the call yields. It stops short of noting freshness, caching, or time-zone handling for "today."

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 purpose and delivered in one tight sentence that earns its length by listing concrete metrics. The trailing "[#88d8a4]" artifact is unexplained noise that slightly detracts.

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 appropriately describes the return contents, and the optional scoping param is fully covered by the schema. For a simple read-only aggregate tool this is nearly complete, missing only freshness semantics and explicit routing away from similar analytics siblings.

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

Parameters3/5

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

Schema coverage is 100% and the single workspace parameter is well documented in the schema (uuid, agency accounts, omit for Default). The description adds no parameter information, so the schema carries the load and the baseline 3 applies.

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?

States a specific verb and resource (aggregated stats) and enumerates the exact metrics returned (pending approval / awaiting payment / in fulfillment / shipped today, revenue, profit, per-store breakdown), so an agent knows precisely what this produces. It does not, however, name or distinguish itself from the similarly named siblings analytics_summary or analytics_breakdown, leaving the agent to infer the boundary.

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?

"For the orders dashboard" implies a reporting context, so usage is weakly implied, but there is no explicit when-to-use, when-not-to-use, or pointer to an alternative such as analytics_summary or get_order_details. Given the dense cluster of order/analytics siblings, this gap matters.

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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