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Glama

finance_treasury_risk_loop

Destructive

Execute a treasury risk loop to identify and analyze financial risks, enabling mitigation actions within the finance domain.

Instructions

Run the finance domain agent action finance_treasury_risk_loop.

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

C2.8/5.0
Behavior2/5

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

The description only mentions routing and scoping, not any effects of the action. Given the annotations indicate destructiveHint: true, the description should at least caution that this action may modify state, but it is silent on that. It does not contradict the annotations, but it omits critical behavioral context.

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 concise, with no extraneous text or repetition. It states the action, routing context, and parameters in a focused manner, making it easy to read.

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?

The tool lacks sufficient context for an agent to know when to invoke it. It does not describe what treasury risk looping entails, what results to expect, or how it differs from the many overlapping finance-related tools. The output schema is not described, and the overall information is too sparse for confident selection in a large toolset.

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 provides only types and defaults with no descriptions, so the description must compensate. It briefly explains 'message' as a free-text objective and 'inputs' as an optional JSON string, which adds some meaning, but it does not specify the expected structure of the inputs JSON or any examples. This is adequate but minimal.

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

Purpose4/5

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

The description clearly states that the tool runs a finance domain agent action named 'finance_treasury_risk_loop', providing a specific verb and resource. However, it does not explain what the action actually does beyond its name, so while the target is clear, the semantics are vague.

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

Usage Guidelines1/5

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

The description gives no guidance on when to use this tool versus any of the many similar sibling tools (e.g., dispatch_domain_agent, run_business_primitive). It does not mention alternatives, prerequisites, or conditions that would make this tool the preferred choice.

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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