Skip to main content
Glama
lightkeeper90

ultimate-tradingview-agent

financial_news

Fetch real-time financial news from RSS feeds, with filters for symbol (e.g., AAPL, BTC) and category (e.g., crypto, stocks).

Instructions

Real-time financial news from RSS feeds (Reuters, CoinDesk, etc.)

Args: symbol: Optional symbol filter ("AAPL", "BTC"). None = all news. category: Feed category ("crypto", "stocks", "all") limit: Max number of news items

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
symbolNo
categoryNostocks
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the data source (RSS feeds) but fails to disclose output format, potential latency, rate limits, or whether results are sorted. For a simple read-only tool, this is minimal but not sufficient.

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, front-loaded with the main purpose, and uses a clear Args list. Every sentence earns its place with no fluff.

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 tool is simple and params are well-documented, but with no output schema, the description should mention what the response contains (e.g., article titles, links, dates). Without this, the description is incomplete for an agent expecting structured output.

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

Parameters5/5

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

Schema coverage is 0%, but the description fully compensates by defining each parameter with examples: symbol (optional filter with examples), category (feed choices), and limit (max items). This adds meaning beyond the bare schema.

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

Purpose5/5

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

The description clearly states the tool provides real-time financial news from RSS feeds, naming specific sources (Reuters, CoinDesk). This distinguishes it from sibling market analysis tools and gives a specific verb+resource.

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?

The description gives clear context (use for news), but does not explicitly mention alternatives or when-not scenarios. Given the distinct purpose, this is sufficient for basic usage guidance but lacks exclusionary info.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lightkeeper90/ultimate-tradingview-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server