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Desk: Department report

department_report
Read-only

One department page as data: the signal ledger, pulse bars, open decisions (with item ids for desk_decisions), what moved in the last 14 days versus the 14 before, the AI team's coverage, how to run it yourself, and what approved decisions did. Departments: advertising | catalog | creative | operations (Supply Chain) | finance | customers (Customers & Health) | brand (Brand & Demand).

Input Schema

NameRequiredDescriptionDefault
departmentYesadvertising | catalog | creative | operations (Supply Chain) | finance | customers (Customers & Health) | brand (Brand & Demand)
profile_idNoAdvertising profile the desk follows (see account_profiles). Optional when the token has one.
seller_connection_idNoBrand (see account_sellers) when no profile_id is given. Optional when the token has one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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, destructiveHint=false, openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: the specific artifacts returned (signal ledger, pulse bars, coverage, run-yourself instructions) and the comparison windows (last 14 days vs the prior 14). Auth/scoping behavior of the optional profile/seller params is not described.

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, then a dense but useful enumeration of contents. The trailing department list duplicates the schema enum, which is slightly wasteful, but overall it is tight and readable.

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 burden of explaining the return shape, and it does so thoroughly by enumerating the sections returned. Parameters are fully documented by the schema; the only gap is the absence of any explicit when-to-use framing relative to sibling report tools.

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 description coverage is 100%, so the schema already documents department, profile_id, and seller_connection_id, including the fallback relationship. The description's department list merely repeats the enum present in the schema and adds no format or semantics beyond it, so 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 concrete verb+resource ('One department page as data') and enumerates the report's contents, so an agent knows exactly what it returns. It does not explicitly contrast with account_report or workbook/report siblings, so sibling differentiation is only implicit via the department-level scope.

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 by the content list and the note that open decisions carry item ids for desk_decisions, which is a useful routing hint toward a sibling. However, there is no explicit statement of when to prefer this tool over account_report or the pnl/ppc report tools, and no exclusions.

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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