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signalscope

SignalScope

Official
by signalscope

get_ticker

Retrieve the current validated ticker row and raw signals for a symbol. Includes opportunityScore (early-mover rank), aiScore (evidence confidence), stage, fundamentals, P&D fields, and signals array.

Instructions

Get the latest validated ticker row plus raw signals. Includes opportunityScore (early-mover rank) and aiScore (evidence confidence — not expected returns), stage, fundamentals, P&D fields, cached report fields if present, and signals[]. Paid: API key or x402 ($0.005).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesTicker symbol (e.g. 'AAPL', 'TSLA') — case-insensitive
Behavior4/5

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

With no annotations, the description carries the transparency burden and does a good job: it discloses that access is paid (API key or x402), clarifies that aiScore is evidence confidence rather than expected returns, and notes that cached report fields are included only if present. It does not cover rate limits or error behavior, but provides meaningful operational context.

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 front-loaded with the core action, followed by a concise field list and a clear pricing note. Every sentence adds value without redundancy, making it an efficient and well-structured description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the single parameter and absence of an output schema, the description explains the return payload, clarifies an important score semantics, and discloses pricing. Minor gaps remain (e.g., unexplained 'P&D fields' and 'raw signals'), but the description is largely sufficient for an agent to select and invoke the tool.

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

Parameters3/5

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

The schema already provides 100% coverage for the sole parameter, including a clear example and case-insensitivity note. The description adds no parameter-specific information beyond the tool's overall purpose, so the schema-baseline score of 3 is appropriate.

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 uses a specific verb and resource: 'Get the latest validated ticker row plus raw signals.' It clearly differentiates from sibling tools like get_ticker_history (historical data) and get_signals (raw signals), and it enumerates the included fields.

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 usage for retrieving a current, validated ticker snapshot with signals, and notes the paid access requirement, but it does not explicitly state when to use this tool over alternatives or provide exclusions. No sibling-to-sibling differentiation is given.

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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