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Glama

TradingView-only: multi-timeframe crypto analysis

crypto_multi_timeframe

Analyze a crypto symbol across multiple TradingView timeframes and return per-timeframe technical reads for clearer market context.

Instructions

Multi-timeframe technical read for a crypto symbol (TradingView-only).

Args: symbol: Coin symbol (BTC, ETH). exchange: TradingView venue.

Returns: Envelope labelled TRADINGVIEW with per-timeframe analysis.

Input Schema

NameRequiredDescriptionDefault
symbolYes
exchangeNoKUCOIN

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses the data source (TradingView) and that the response is a labelled envelope, which is useful context, but it says nothing about permissions, rate limits, latency, or whether the read is purely informational.

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 Args/Returns structure is front-loaded and easy to scan, with no filler sentences. It is arguably too terse for a tool whose key concept (which timeframes are analyzed) is never stated.

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?

An output schema exists, so return-value explanation is not strictly required, and the description sensibly names the envelope label. However, for a tool whose defining feature is 'multi-timeframe', the description never says which timeframes are covered or what the per-timeframe analysis contains, leaving a material gap.

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?

Schema description coverage is 0%, so the description must compensate and it only partially does. It gives concrete symbol examples ('BTC', 'ETH') that the bare string schema lacks and characterizes 'exchange' as a TradingView venue, but it never enumerates valid venues or explains how an invalid/unsupported exchange is handled.

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?

States a specific verb and resource: a multi-timeframe technical read for a crypto symbol, scoped to TradingView. That distinguishes it from the generic technical_analysis sibling only weakly (the differentiator is the data source, not the analysis semantics), but an agent can still tell what it does.

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 explicit when-to-use guidance and no comparison to the obvious alternatives in the sibling list (technical_analysis, crypto_multi_agent, bitcoin_market_pulse). The only routing hint is the parenthetical '(TradingView-only)', which tells the agent the data source but not when to prefer this tool over those siblings.

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