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ctoouli

MCP Stock Market

by ctoouli

Company Overview Tool

getCompanyOverview

Retrieve company information and overview data for any stock ticker symbol to analyze investment opportunities and understand business fundamentals.

Instructions

Get company information for a given stock ticker symbol using Alpha Vantage API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesThe stock ticker symbol, e.g., AAPL, MSFT
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the API source (Alpha Vantage), which hints at external dependencies, but doesn't cover critical aspects like rate limits, authentication needs, error handling, or response format. For a tool with zero annotation coverage, this leaves significant gaps in understanding its operational behavior.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and includes the API source for context. Every part of the sentence contributes meaning, making it appropriately concise.

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

Completeness3/5

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

Given the tool's low complexity (1 parameter, no nested objects) and high schema coverage, the description is minimally adequate. However, with no annotations and no output schema, it doesn't fully compensate for missing behavioral and output details. The description covers the basic purpose but leaves gaps in usage and operational context, making it just sufficient for a simple 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?

Schema description coverage is 100%, with the single parameter 'symbol' fully documented in the schema. The description adds no additional parameter details beyond what the schema provides (e.g., no examples or constraints). According to the rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 clearly states the action ('Get company information') and resource ('for a given stock ticker symbol'), with the specific API source ('using Alpha Vantage API'). It distinguishes from siblings like getStockPrice or getStockNews by focusing on comprehensive company information rather than specific data points. However, it doesn't explicitly contrast with all siblings, keeping it at 4 rather than 5.

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?

The description provides no guidance on when to use this tool versus alternatives like getStockPrice or getStockNews. It doesn't mention prerequisites, exclusions, or comparative contexts. The agent must infer usage from the tool name and description alone, which is minimal guidance.

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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