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0DTE Confluence

get_major_news

MAJOR RSS headlines. Context only — never a trigger.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The 'Context only — never a trigger' clause discloses a non-obvious behavioral trait: this tool is passive and must not be used to drive a trade or alert decision. However, nothing else is disclosed about recency, source coverage, output shape, or failure behavior, which is a noticeable gap for a tool with zero annotation support.

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 entire description is nine well-placed words across two sentences. The resource ('MAJOR RSS headlines') is front-loaded, and the behavioral guardrail ('never a trigger') follows immediately. Every word earns its place with zero waste.

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

Completeness4/5

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

For a zero-parameter tool with an output schema present, the description provides enough to invoke it correctly and understand its general role. The output schema presumably documents the return structure, so the main missing piece is the source or selection criteria for what qualifies as 'MAJOR' headlines, which is a minor gap.

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?

The tool takes zero parameters, and the rubric grants a baseline of 4 in this case since there is nothing for the description to document. The input schema is an empty object, and the description correctly adds no parameter details that would be redundant or invented.

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 resource ('RSS headlines') with a scope qualifier ('MAJOR'), making the tool's purpose as a news-context fetcher clear. The clause 'never a trigger' and sibling names like check_alert_tradeable and get_latest_alert make the distinction from action-oriented tools apparent. It doesn't specify which RSS sources or what 'major' means, so the purpose is clear but slightly underspecified.

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

Usage Guidelines4/5

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

'Context only' explicitly frames when to use the tool (for gathering background/news context) and 'never a trigger' is an explicit when-not. However, it does not name any alternative tools, even though over 18 siblings exist, so an agent must infer the routing from the exclusion rather than being pointed to a specific sibling.

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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TDQS

B3/5.0
Disambiguation5/5

Each tool targets a distinct metric or workflow—alert checks, alert lists, gamma maps, volatility indices, replay timelines, execution plans—so an agent can reliably pick the right one from its description. Even the alert-related tools (get_latest_alert, list_alert_history, check_alert_tradeable) have clearly separate outputs.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (mostly get_, plus check_, format_, list_, plan_). This makes the set predictable and easy to scan.

Tool Count2/5

At 32 tools, the surface is heavy and approaches a disorganized collection of endpoints rather than a curated set. Many individual get_* indicators could be grouped into a smaller number of dashboard or snapshot tools without losing clarity.

Completeness4/5

The server covers the core 0DTE intelligence lifecycle: alerts, historical replays, risk overlays, structure, gamma, volatility, news, and advisory planning. Minor gaps exist—such as a direct quote or option chain feed—but they are not essential to the stated purpose.

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