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supply-chain-intelligence

by io.github.SupplyMaven-SCR
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get_weekly_content_package

Get the weekly 'Signal of the Week' content package — a pre-written, data-verified marketing bundle generated every Monday from live SupplyMaven data. Returns a Substack article (~500 words), LinkedIn post (~200 words), and Twitter/X thread (4-5 tweets), all built from verified supply chain data. Every number in the content traces back to a live data source. Designed for automated content distribution via Claude Desktop + platform MCP servers. The content package includes the signal headline, full data context (GDI, commodities, ports, signals), and platform-specific formatted content ready for publishing.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_weekly_content_package"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does substantial work: it discloses the generation cadence ('generated every Monday'), the exact output composition and lengths, and that all figures trace to live verified data. It stops short of stating permissions, auth needs, rate limits, or whether the package is cached between Mondays.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is correctly front-loaded in the first sentence, but the description restates the 'verified/live data' claim three times across sentences ('data-verified... from live SupplyMaven data', 'built from verified supply chain data', 'Every number... traces back to a live data source'). That redundancy dilutes an otherwise efficient paragraph.

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?

No output schema exists, so the description must describe return values, and it does so thoroughly — naming each platform artifact, its approximate length, and the included components (headline, data context, platform-formatted content). An agent knows exactly what it will receive.

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 zero parameters, so there is nothing for the description to disambiguate. Baseline of 4 applies; no parameter information is needed or missing.

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?

States a specific verb+resource ('Get the weekly Signal of the Week content package') and describes the artifact precisely (Substack article, LinkedIn post, Twitter/X thread). This is clearly distinguishable from every sibling, which are all raw-data retrieval tools rather than a bundled content product.

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

Usage Guidelines4/5

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

Provides a clear usage context — 'Designed for automated content distribution via Claude Desktop + platform MCP servers' — which tells the agent when this tool is appropriate. It does not, however, name alternatives or state when not to use it (e.g., vs. get_supply_chain_weekly_brief or get_intelligence_briefs).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All supply-chain-intelligence toolsInspect
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