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analyze_working_capital

Assess working capital health by calculating key ratios like current ratio, quick ratio, and cash conversion cycle using financial data to identify liquidity and efficiency opportunities.

Instructions

Analyze working capital health. All values in same currency (USD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
current_assetsYes
current_liabilitiesYes
annual_revenueYes
accounts_receivableYes
accounts_payableYes
annual_cogsYes
Behavior2/5

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

With no annotations provided, the description carries full disclosure burden but reveals almost nothing about the analysis behavior. It does not specify what metrics are calculated (current ratio, cash conversion cycle, etc.), whether the operation is read-only, or what the return format looks like. Only the currency constraint is disclosed.

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 two sentences are efficient and front-loaded with the primary purpose stated first. However, given the complexity (6 undocumented financial parameters, no output schema), the description is inappropriately brief rather than truly concise—key information is missing.

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

Completeness2/5

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

With 6 required parameters, 0% schema coverage, no annotations, and no output schema, the description is insufficient. It omits what analysis is performed, what outputs are returned, and definitions for the financial metrics, leaving significant gaps for an AI agent to use the tool correctly.

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

Parameters2/5

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

Schema description coverage is 0% (only titles, no descriptions), requiring the description to compensate. While it adds the critical constraint that 'All values in same currency (USD)', it fails to explain any of the 6 financial terms, their relationships to one another, or expected value formats beyond 'number'.

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

Purpose3/5

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

States the core action ('Analyze') and resource ('working capital health') clearly enough for domain users. However, it fails to differentiate from close siblings like 'assess_credit_position' or 'get_cash_position', leaving ambiguity about when to select this specific financial analysis tool.

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

Usage Guidelines2/5

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

Provides no guidance on when to use this tool versus alternatives like 'assess_credit_position' or 'forecast_cash_position'. The only constraint mentioned ('All values in same currency') is an input requirement, not a usage scenario.

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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