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finance_investment_trading_model_lifecycle

Destructive

Execute finance domain agent actions to manage trading model lifecycle stages, from creation to retirement.

Instructions

Run the finance domain agent action investment_trading_model_lifecycle.

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. Dates show when Glama detected each change.

  1. Addedv0.1.1

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already flag destructive, non-idempotent, open-world behavior. The description adds only dispatcher/scoping context and does not disclose what gets changed, created, or destroyed when the action runs, so the agent cannot assess side effects.

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 compact, front-loaded with the action name, and has a clear Args block. It earns its place overall, though the Args paragraph largely restates the schema property names.

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 presence of an output schema covers return values, but the description remains incomplete for a destructive domain-agent action with many similar finance siblings. It omits what lifecycle phase is being run and what outcomes or prerequisites the agent should expect.

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?

With 0% schema description coverage, the description at least explains that message is a free-text objective and inputs is an optional JSON string. But it does not specify expected JSON keys, value formats, or how to phrase a valid objective, which is needed for correct invocation.

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?

The description names the exact domain action ('investment_trading_model_lifecycle') and states it is run through the dispatcher, so it is not a pure tautology. However, it never explains what a model lifecycle is or what the action accomplishes, leaving an agent to infer meaning from the tool name alone.

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?

The routing context (JWT/tenant/company) describes how execution happens, not when this tool should be chosen. It gives no selection criteria, no alternatives, and no comparison to related tools such as dispatch_domain_agent or finance_investment_trading_agent.

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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