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Signal8 MCP Server

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Get Earnings Calendar

get_earnings_calendar
Read-only

Retrieve upcoming and recent earnings releases between two dates. Optionally filter by tickers or market cap to focus on large-cap or small-cap earnings.

Instructions

Get upcoming and recent earnings releases between two dates. Optionally restrict to a list of tickers. Returns ticker, date, time (BMO/AMC), EPS estimate, and revenue estimate when available. Supports market cap filtering to focus on large-cap or small-cap earnings only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesEnd date inclusive (YYYY-MM-DD)
fromYesStart date inclusive (YYYY-MM-DD)
tickersNoOptional ticker filter, e.g. ["AAPL","NVDA"]
maxMarketCapNoMaximum market cap in USD (e.g., 2000000000 for under $2B)
minMarketCapNoMinimum market cap in USD (e.g., 10000000000 for $10B+)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations indicate readOnlyHint=true, and the description adds behavioral context by listing the returned fields and filter capabilities. It does not conflict with annotations, and the added detail (market cap filtering, specific data fields) is valuable for safe usage.

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 three sentences, front-loaded with the main action, and every sentence adds value. No fluff or redundancy.

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

Completeness5/5

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

Given the presence of an output schema, the description sufficiently covers the tool's capabilities: date range, ticker filter, market cap filter, and returned fields. No critical information is missing for a read-only data retrieval tool.

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

Parameters4/5

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

With 100% schema coverage, the description adds meaning beyond the schema by explaining the purpose of date range parameters and how market cap filtering works (e.g., 'focus on large-cap or small-cap earnings only'). This enhances understanding of parameter usage.

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 clearly states the tool retrieves upcoming and recent earnings releases between two dates, with optional ticker and market cap filters. It specifies the returned fields (ticker, date, time, EPS estimate, revenue estimate), making the purpose distinct from sibling tools like get_earnings or get_economic_calendar.

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 provides clear context on when to use (earnings calendar between dates, with optional filters) but does not explicitly mention when not to use or suggest alternatives. It lacks exclusionary guidance compared to siblings.

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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