Equity Signal
equity_signalUS equity signal for a ticker: buy/neutral/sell signal plus percent upside to analyst price target, from fundamentals + consensus.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | US stock ticker, e.g. AAPL. |
equity_signalUS equity signal for a ticker: buy/neutral/sell signal plus percent upside to analyst price target, from fundamentals + consensus.
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | US stock ticker, e.g. AAPL. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the output shape (signal + percent upside) and the input sources, which is useful, but it says nothing about freshness, caching, or what happens for tickers with no coverage (a real risk given openWorldHint).
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?
Single, front-loaded sentence with no filler. Every clause carries information: domain, output fields, and data sources.
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?
For a one-param read-only tool with a 100% covered schema, the description is nearly sufficient. The main gap is that openWorldHint=true implies coverage variability (missing tickers, non-US tickers, stale consensus), and the description gives no guidance on those edge cases or the format of 'percent upside'.
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?
Schema coverage is 100%, so the single parameter is already fully documented including format example (AAPL) and length bounds. With only one parameter and no ambiguity, this is a solid baseline; the description adds little beyond confirming 'ticker' is a US equity symbol, but nothing is missing.
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?
States a specific verb-resource combination: produces a buy/neutral/sell signal and percent upside to analyst price target for a US equity ticker. Sibling tools (critical_minerals, labor_pulse, wallet_pnl, token_scan) operate in entirely different domains, so differentiation isn't a concern here, though the description doesn't position itself against anything.
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 phrase 'from fundamentals + consensus' implies the methodology and thus when it applies (equity analysis grounded in analyst data), but there is no explicit when-to-use, when-not-to-use, or alternative routing. Adequate but leaves context inference to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.