get_trading_signals
Latest algorithmic buy/sell trading signals from the Alpha bot (entry, stop-loss, take-profit). Requires a Trader or API plan key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Latest algorithmic buy/sell trading signals from the Alpha bot (entry, stop-loss, take-profit). Requires a Trader or API plan key.
| 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?
No annotations are provided, so the description carries the burden. It does disclose the plan-key requirement and the main contents of the response, but it does not mention auth mechanism, rate limits, data freshness beyond 'latest', or error behavior. This is moderate transparency, not comprehensive.
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 entire description is one compact sentence that front-loads the essence ('Latest algorithmic buy/sell trading signals'), then adds output specifics and the access requirement. There is no filler or redundancy.
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 low complexity, empty schema, and lack of an output schema, the description is largely complete: it conveys what is returned, the source, and a required key. The main gap is the absence of comparison guidance with sibling tools, but that is more of a usage-guideline concern.
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 tool has zero parameters and the schema is empty, so there is nothing to document. Per baseline rules for 0-parameter tools, the description appropriately avoids inventing parameter details; the listed output fields are the only meaningful semantic content.
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 names a concrete resource ('algorithmic buy/sell trading signals from the Alpha bot') and specifies the included outputs (entry, stop-loss, take-profit). This clearly separates it from sibling tools such as get_bot_status, get_market_overview, and get_whale_movements.
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 states an eligibility condition ('Requires a Trader or API plan key'), which helps determine whether the agent can call it. However, it gives no explicit guidance on when to use this tool versus alternatives, such as context that would favor get_market_overview or get_smart_money.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.