get_stock_quote
Live stock/ETF quote (price + % change) via Just Signal's market-data relay. Establishes a ticker's Day-0 baseline before projecting.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | US ticker, e.g. NVDA |
Live stock/ETF quote (price + % change) via Just Signal's market-data relay. Establishes a ticker's Day-0 baseline before projecting.
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | US ticker, e.g. NVDA |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must fully disclose behavior. It mentions 'live' and 'baseline', but omits details on caching, rate limits, authentication, or destructiveness. The safety profile is unclear.
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?
Two sentences, no redundancy, front-loaded with the main purpose. Every word adds value.
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 a single parameter and no output schema, the description covers what the tool does well. However, missing details on return format or errors could be problematic for complex use.
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% with a clear parameter description ('US ticker, e.g. NVDA'). The description adds no further parameter semantics beyond what the schema provides, so baseline score of 3 applies.
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 clearly states 'Live stock/ETF quote (price + % change)' using a specific verb ('get' implied) and resource. It is distinct from sibling tools like get_panel_grade, but does not explicitly differentiate from similar market data tools.
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 'via Just Signal's market-data relay' and 'Establishes a ticker's Day-0 baseline before projecting' gives context for use, but lacks explicit conditions or alternatives compared to siblings.
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.
Each tool has a clearly distinct purpose: getting panel grades, auditing past signals, fetching live quotes, listing reports, and publishing reports. No overlaps or ambiguity.
All tool names follow a consistent verb_noun pattern using lowercase with underscores (get_panel_grade, get_scorecard, get_stock_quote, list_reports, publish_report). No mixed conventions.
With 5 tools, the set is well-scoped for the domain of investment signals and reports. Each tool serves a necessary function without redundancy or excessive bloat.
Covers key operations: viewing individual panel grades, auditing past signals, getting live quotes, and managing reports. A minor gap is the lack of a tool to view full report content, but list_reports may provide summaries and the set is otherwise complete.