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get_supply_chain_weekly_brief

Comprehensive weekly supply chain situation report combining all SupplyMaven data sources into an executive-level brief. Includes GDI score with pillar breakdown and trend, top disruption events with risk scores, manufacturing output status across 8 regions, commodity price movements, port congestion highlights, and active predictive signals. Designed to answer 'what happened this week in supply chains?' in a single call. Used by executives, procurement leaders, and supply chain managers for weekly risk reviews and stakeholder briefings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.9/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It thoroughly discloses the tool's behavior by enumerating the included data elements and indicating it aggregates all data sources. This gives the agent a clear picture of the report's coverage and tone without hiding any side effects.

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?

The description is concise yet informative, using four sentences to convey the tool's essence, contents, purpose, and audience. Every sentence adds value, and the most critical information ('comprehensive weekly brief') is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters, no output schema, and no annotations, the description is remarkably complete. It lists the major report sections, explains the intended use case, and identifies the audience, providing sufficient information for an agent to understand what the tool returns and when to invoke it.

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 has zero parameters, so parameter semantics are not applicable. The description adds context about what the report contains, but since there are no inputs, a baseline of 4 is appropriate for not needing to explain parameters.

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

Purpose5/5

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

The description clearly states the tool's purpose: a comprehensive weekly supply chain situation report combining all data sources into an executive-level brief. It lists specific content areas (GDI score, disruptions, manufacturing, commodities, etc.) and names the target audience, distinguishing it from specialized sibling tools.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'Designed to answer what happened this week in supply chains? in a single call.' It also mentions the intended users and use cases (weekly risk reviews, stakeholder briefings), providing clear context without needing to exclude alternatives.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools have distinct purposes targeting specific supply chain dimensions like commodity prices, port congestion, or manufacturing indicators, with clear boundaries. However, some overlap exists between tools like 'get_commodity_volatility_alerts' and 'commodity_price_monitor', which both focus on commodity price changes, potentially causing confusion in tool selection.

Naming Consistency4/5

Tool names follow a consistent 'verb_noun' pattern (e.g., 'get_action_signals', 'get_air_cargo_disruptions'), with minor deviations like 'commodity_price_monitor' and 'manufacturing_output_indicator' using noun-based naming. This maintains readability but slightly breaks the overall convention.

Tool Count2/5

With 25 tools, the count feels excessive for a single server, likely overwhelming users and agents. The server covers a broad domain, but many tools could be consolidated (e.g., multiple commodity-related tools) to reduce complexity and improve focus.

Completeness5/5

The tool set provides comprehensive coverage of the supply chain domain, including risk assessment, real-time monitoring, predictive analytics, and executive reporting. It supports full lifecycle management from data retrieval to actionable insights, with no obvious gaps in functionality.

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