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mcp-knowledge

by io.github.getgapup

working_capital_fx_hedge_optimizer

Read-onlyIdempotent

For CFOs managing multinational working capital, this tool analyzes real-time ECB and FRED foreign exchange rates to recommend optimal hedging strategies. Input base currency, target currencies, and working capital amounts to receive forward contract suggestions, natural hedge opportunities, and cost-benefit analysis of various hedging instruments (forwards, options, swaps). Outputs include hedge ratios, estimated cost savings, and risk reduction metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
baseCurrencyYesISO 4217 code of the company's functional currency (e.g., 'USD', 'EUR')
riskAppetiteNoCompany's risk tolerance for currency fluctuationsbalanced
timeHorizonDaysNoPlanning horizon in days (default: 90)
targetCurrenciesYesISO 4217 codes of currencies to hedge against (e.g., ['EUR', 'GBP', 'JPY'])
workingCapitalAmountsYesWorking capital amounts in each target currency (e.g., { EUR: 5000000, GBP: 3000000 })

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesNo
warningsNo
recommendationsNo

TDQS

A4.2/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations: it analyzes real-time ECB and FRED rates, implying external data access. Annotations declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, which align. No mention of async behavior or error handling, but safety profile is clear.

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 a single, well-structured paragraph with no wasted words. It front-loads the purpose and audience in the first sentence, and efficiently covers inputs and outputs. Every sentence adds value.

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?

The description explains inputs (required parameters), process (analyzes rates, recommends strategies), and outputs (hedge ratios, cost savings, risk metrics). With an output schema available and 100% schema coverage, the description is nearly complete. Minor omission: optional parameters (riskAppetite, timeHorizonDays) are not mentioned, but defaults exist.

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% with detailed descriptions for all 6 parameters. The description merely restates the required inputs ('base currency, target currencies, working capital amounts') without adding new semantics. It does not enhance understanding beyond the schema, so baseline score is appropriate.

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: analyzing real-time FX rates to recommend hedging strategies for CFOs. It specifies the audience (CFOs managing multinational working capital) and key outputs (forward contracts, natural hedge opportunities, cost-benefit analysis). This distinguishes it from sibling tools like 'working_capital' and 'treasury_optimizer'.

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?

The description explicitly targets CFOs managing multinational working capital, indicating when to use the tool. However, it does not provide when-not-to-use guidance or compare to alternatives like 'treasury_optimizer' or 'working_capital'. The context is clear but lacks 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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TDQS

C2.8/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially in competitive intelligence, ESG, and risk assessment. For example, there are multiple tools for competitor analysis (competitive_deep_dive, competitor_intel, competitor_moves, etc.) with unclear boundaries. Agents would struggle to select the correct tool without deep understanding of subtle differences.

Naming Consistency2/5

Tool names are a mix of English and French, and follow no consistent pattern. Some use snake_case (e.g., abm_architect, action_plan_esg), while others are verb-focused (e.g., content_catalog, fx_rate). The lack of a uniform naming convention makes it hard for agents to predict tool names.

Tool Count1/5

With 271 tools, the server is excessively large. Even for a broad knowledge domain, this number of tools makes discovery and selection inefficient. Typical coherent servers have 3-15 tools; this has an order of magnitude more, indicating poor scoping.

Completeness3/5

The tool set covers many domains (compliance, finance, marketing, HR, etc.), but the coverage is uneven due to redundancy. Key areas have multiple overlapping tools, while some sub-domains may still have gaps. Overall, the surface is broad but not well-curated.

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