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finance_investment_alpha_training_pipeline

Destructive

Run an investment alpha training pipeline via the finance domain agent. Submit a free-text objective or structured JSON inputs to execute training under your tenant and company scope.

Instructions

Run the finance domain agent action investment_alpha_training_pipeline.

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

A3.6/5.0
Behavior4/5

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

Annotations already communicate destructive and non-read-only behavior; the description adds useful context about authentication and scope routing (under the caller's JWT, tenant, and company scope). It does not spell out the side effects or runtime characteristics of the training pipeline, but the annotation layer covers the safety profile adequately.

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 compact, front-loaded with the primary action, and every sentence earns its place. The Args section is cleanly separated and avoids verbose filler.

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

Completeness3/5

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

The output schema and annotations cover return values and safety profile, and the description explains routing and both parameters. However, for a high-complexity finance-training action, it leaves a gap in actionable context: what the pipeline does, what a well-formed objective looks like, and how this differs from adjacent finance-investment tools.

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

Parameters4/5

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

Despite 0% schema description coverage, the description defines both parameters: `message` is a free-text objective and `inputs` is an optional JSON string of structured inputs. This adds meaning beyond the bare schema fields, though it does not specify the expected JSON structure or how the message should be phrased.

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 states a specific verb and resource: it runs the finance domain agent action `investment_alpha_training_pipeline`, and clarifies that it goes through the platform's domain-agent dispatcher. This is more informative than a bare tool name, but it does not explain what the investment-alpha training pipeline actually accomplishes or distinguish it from finance investment siblings like `finance_investment_alpha_discovery` or `finance_investment_trading_model_lifecycle`.

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 given about when to use this tool versus the many alternative finance-investment or domain-agent tools. The mention of the dispatcher explains the execution mechanism but not the conditions or prerequisites that should trigger this action.

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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