get_technical_indicators
Latest technical indicators (EMAs, SMAs, RSI, MACD, BB, ADX, Stoch, ATR, OBV, VWAP).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | ||
| timeframe | No | daily |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Latest technical indicators (EMAs, SMAs, RSI, MACD, BB, ADX, Stoch, ATR, OBV, VWAP).
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | ||
| timeframe | No | daily |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations provided, so the description carries the full burden of behavioral disclosure. It only says 'Latest' which implies recency, but it does not disclose return format, pagination, authentication requirements, rate limits, or any side effects. As a 'get' tool, it is likely read-only, but this is not explicitly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, but it is a fragment, not a well-structured sentence. It front-loads the key term 'technical indicators' and lists examples, which is efficient, but it omits critical context such as the action and parameters. It is concise but under-specified, so it does not earn a high score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (multiple indicator types) and the absence of annotations, the description is insufficient. It does not explain what 'latest' means (e.g., relative to current price or a fixed date), how the timeframe parameter affects results, or what the output structure looks like. Even though an output schema exists, the description remains incomplete for a tool with two parameters and many indicators.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has two parameters, 'symbol' and 'timeframe', but the schema includes no descriptions (0% coverage). The tool description does not mention either parameter or explain their purpose, default values, or allowed values. Thus, the description adds no meaning beyond the raw schema, failing to compensate for the lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun phrase 'Latest technical indicators (EMAs, SMAs, ...)' rather than a full sentence with a verb. It clearly identifies the type of data (technical indicators) and lists specific examples, which helps differentiate from sibling tools like candlestick patterns or support/resistance. However, it does not explicitly state the action (e.g., 'get' or 'retrieve') or the resource (e.g., 'for a symbol'), making the purpose somewhat vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or alternative tools. The only hint is the list of indicators, which implies it is for technical analysis, but there is no explicit comparison to other market analysis tools.
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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