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Glama

finance_ratio_dupont_analysis

Destructive

Perform DuPont analysis to decompose return on equity into profitability, efficiency, and leverage components. Identify the key drivers of financial performance and diagnose issues.

Instructions

Run the finance domain agent action finance_ratio_dupont_analysis.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior2/5

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

The description provides some context about JWT, tenant, and company scope, but the annotations already mark destructiveHint=true while the description gives no hint of possible side effects or what may be mutated. With a destructive annotation, the agent needs at least a warning or description of what state could change; that is absent.

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

Conciseness4/5

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

The description is short, front-loaded, and free of obvious padding. The routing context and two parameter lines are compact, though the core content is thin. It earns points for structure and brevity, not for substantive coverage.

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?

Even though an output schema exists, the description is incomplete for an agent trying to invoke the tool correctly. It does not explain the meaning of DuPont analysis, the allowed message/input forms, the potential side effects implied by destructiveHint, or when this action should be preferred over sibling finance actions.

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 coverage is 0%, so the description must compensate for the schema's lack of parameter details. It adds only minimal glosses: message is a free-text objective and inputs is an optional JSON string. It does not explain what objectives are valid, what structured inputs are expected, or how the JSON should be shaped, which is essential for a generic dispatcher-style tool.

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 says only "Run the finance domain agent action `finance_ratio_dupont_analysis`" which restates the tool name and adds a generic run/routing mechanism. It never states what the DuPont analysis actually does, what inputs it transforms, or what result it produces. It does not meaningfully distinguish the action from the many other finance_* domain-agent tools listed as 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?

There is no guidance on when to use this tool versus other finance domain actions, nor any mention of prerequisites, alternatives, or exclusions. The routing/scoping sentence describes how the call is dispatched, not when the agent should select it.

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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