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finance_investment_market_data_snapshot

Destructive

Capture a market data snapshot for investment decisions with a free-text objective and optional structured inputs. Routes through the finance domain agent under your JWT, tenant, and company scope.

Instructions

Run the finance domain agent action investment_market_data_snapshot.

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
Behavior3/5

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

Annotations already convey destructiveHint=true, openWorldHint=true, and readOnlyHint=false. The description adds that the tool routes through the domain-agent dispatcher under the caller's JWT, tenant, and company scope, which is relevant operational context. It does not elaborate on potential side effects, but the annotations carry that burden, so this is adequate though not rich.

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 and neatly structured with a one-line action statement and an args list. It avoids unnecessary prose, though the first line is mostly redundant with the tool name. Overall it is compact and easy to scan.

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?

For an open-world domain-agent dispatch tool with many finance siblings, the description is too thin. It does not explain what kind of message or inputs are appropriate, what the action returns (output schema notwithstanding), or how to choose this action over finance_investment_trading_agent, finance_investment_portfolio_backtest, and similar tools. An agent selecting this tool has to rely almost entirely on the name.

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% description coverage, but the description adds 'Free-text objective' for message and 'Optional JSON string of structured inputs' for inputs, which is more than the bare schema provides. However, 'structured inputs' remains vague—no examples, expected keys, or format guidance—so it only partially compensates for the missing schema descriptions.

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 opens with 'Run the finance domain agent action investment_market_data_snapshot', which essentially restates the tool name without explaining what a market data snapshot is or what the action accomplishes. It adds routing/scope mechanics, but not the domain-level purpose an agent needs to decide when this tool is relevant.

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 the many finance_investment_* siblings. No conditions, exclusions, or alternatives are mentioned; the description simply says to run the action, leaving the agent to infer selection solely from the name.

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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