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analyze_symbol_ta

Get a clear buy, sell, or hold signal for any trading symbol by running full technical analysis with RSI, MACD, EMA, Bollinger Bands, and Stochastic, including a confidence score.

Instructions

Run full technical analysis on a symbol using RSI, MACD, EMA, Bollinger Bands, and Stochastic. Returns buy/sell/hold recommendation with confidence score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
symbolYes
timeframeNo1h
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly communicates that the tool performs calculations and returns a recommendation, which implies a read-only analytical operation. However, it does not explicitly state that the operation is non-mutating or mention any limitations (e.g., rate limits, data freshness, or errors). The indicators and output description provide substantive behavioral context beyond the schema.

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 two sentences, efficiently front-loaded with the main action. Every word contributes meaning, with no redundancy or filler. It is concise while covering the tool's core purpose and output.

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?

This is a complex analysis tool with no output schema, no annotations, and undocumented parameters. The description gives only a high-level overview, omitting details like the confidence score range, how limit and timeframe influence the recommendation, and any error behavior or prerequisites. For an agent to use it correctly and trust the output, more context is needed.

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

Parameters2/5

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

The schema description coverage is 0%, so the description must compensate, but it only mentions 'symbol' generically. It does not explain the 'limit' or 'timeframe' parameters, their defaults, or how they affect the analysis. This leaves two of three parameters semantically undefined for the agent.

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 runs a 'full technical analysis' on a symbol, enumerates the specific indicators used (RSI, MACD, EMA, Bollinger Bands, Stochastic), and specifies the output (buy/sell/hold recommendation with confidence score). This is a specific verb+resource+output definition that distinguishes it from sibling tools like get_indicator, which likely provides a single indicator value.

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

Usage Guidelines3/5

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

The description implies this is for comprehensive analysis ('full technical analysis') but does not explicitly state when to use it over alternatives like get_indicator or find_ta_signals. It provides no exclusions, prerequisites, or contextual conditions. Usage guidance is only implicit, not explicit.

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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