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Ryufin

The five answers for a stock

get_stock_answers
Read-onlyIdempotent

Ryufin's five answers for one stock: is the business good, is it safe, is the price fair, is it growing, what is the market doing with it. Each answer has a one-word verdict, a plain sentence, the checks it was read from (with values and dates) and, when it moved recently, what it was before.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesUS ticker symbol, e.g. NVDA or BRK-B

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and closed-world, so safety is covered. The description adds genuine value beyond that by disclosing the response shape: a one-word verdict, a plain sentence, the underlying checks with values and dates, and prior values when something moved. Return-format detail of this kind is exactly what annotations cannot convey.

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?

One tight sentence that front-loads what the tool returns and then details the payload structure. Every clause carries information with no filler.

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?

With no output schema, the description correctly carries the burden of explaining return values and does so thoroughly. The only shortfall is the lack of sibling routing, which an agent calling a five-answer read tool would benefit from.

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?

Schema description coverage is 100% and the single ticker parameter is fully documented in the schema with a pattern and example. The description adds nothing parameter-specific, 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 (the five answers for one stock) and even enumerates the five questions, so an agent knows exactly what comes back. It does not, however, distinguish this tool from close siblings like get_answer_changes or get_stock_overview, leaving the boundary to inference.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no exclusions, and no mention of alternatives. The fact that get_answer_changes exists and this description references 'when it moved recently, what it was before' makes the absence of routing guidance a real gap.

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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