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yahoo_finance_ticker_earnings

Read-only

Fetch Yahoo Finance earnings modules for one symbol. Use yahoo_finance_ticker_earnings_dates for dated earnings-event rows.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "symbol": "<symbol>"
    },
    "name": "yahoo_finance_ticker_earnings"
  }
}

Input Schema

NameRequiredDescriptionDefault
symbolYesYahoo Finance symbol such as AAPL.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context beyond a plain read — no auth needs, rate limits, or scoping caveats — so it sits at the baseline for an annotated read-only tool.

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?

Two short sentences, zero filler, with the core purpose stated first and the disambiguation second. Every phrase earns its place.

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?

For a single-symbol read with an output schema that covers return values and annotations that cover safety, this is nearly complete; only a hint at what 'modules' contains is missing to fully guide the agent.

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?

With one parameter at 100% schema coverage, the schema already documents 'symbol' including its format ('such as AAPL'). The description adds no semantics beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Fetch Yahoo Finance earnings modules') scoped to one symbol, and it explicitly distinguishes itself from the sibling yahoo_finance_ticker_earnings_dates. The only softness is 'modules', which is somewhat opaque about the exact content returned (history vs. estimates).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It names the alternative (yahoo_finance_ticker_earnings_dates) and the condition selecting it ('dated earnings-event rows'), which is exactly the routing an agent needs. It does not, however, state any positive condition or prerequisite for using this tool itself.

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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