Skip to main content
Glama

finance_working_capital_efficiency

Analyze your company's working capital efficiency. Provide a free-text objective or structured inputs to get actionable insights.

Instructions

Run the finance domain agent action finance_working_capital_efficiency.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations, the description bears full responsibility for disclosing behavioral traits. It does not mention side effects, authentication requirements, rate limits, or what data is affected. The implementation-centric description fails to inform the agent about the tool's runtime behavior.

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 description is short but adequately structured with an args list. However, it lacks critical information, making its conciseness a trade-off against completeness. Every sentence is earned, but the content is insufficient.

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?

Given the lack of annotations and the presence of an output schema (unseen), the description does not explain what the tool returns or its side effects. It omits details about working capital efficiency analysis, making it incomplete for an agent to use safely.

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?

The schema has 0% coverage for parameter descriptions, so the description adds value by clarifying that 'message' is a free-text objective and 'inputs' is an optional JSON string for structured inputs. This provides basic semantic context beyond the schema's type/default fields.

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

Purpose2/5

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

The description focuses on implementation details (routing through dispatcher) rather than specifying the business purpose. The name suggests working capital efficiency, but the description does not clarify what the tool actually accomplishes, leaving it vague among many finance siblings.

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?

No guidance is provided on when to use this tool versus alternative finance tools like finance_capital_allocation_analysis or finance_ratio_dupont_analysis. The description only instructs to run the action with a message and inputs, lacking context for proper selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RPasquale/lightbulb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server