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NARAVINDR321

Financial Analysis MCP Server

by NARAVINDR321

retrieve_ticker_info

Retrieve detailed stock information for a specific ticker symbol to support financial analysis and investment decisions. Provides a JSON-serializable dict containing key data for the given ticker.

Instructions

Retrieves information about the given ticker.
Args:
    ticker: The ticker symbol of the stock to retrieve the information for.
Returns:
    A JSON-serializable dict with information about the given ticker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states this is a retrieval operation but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, what happens if the ticker is invalid, or if it's a read-only operation. For a tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded with the core purpose. The Args and Returns sections add structure, though they could be more integrated. Every sentence earns its place, but the formatting is slightly verbose for such a simple tool.

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

Completeness2/5

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

Given the complexity (financial data retrieval), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain what information is returned (e.g., price, volume, company details) or handle edge cases, making it inadequate for reliable agent use.

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 description adds minimal semantics beyond the input schema, which has 0% description coverage. It clarifies that 'ticker' is 'the ticker symbol of the stock', but doesn't specify format (e.g., uppercase, with exchange prefix) or constraints. With low schema coverage, this provides some value but doesn't fully compensate.

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 verb ('retrieves') and resource ('information about the given ticker'), making the purpose understandable. However, it doesn't distinguish this from sibling tools like 'retrieve_current_price' or 'retrieve_stock_data', which likely retrieve similar information but with different scopes or formats.

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. With siblings like 'retrieve_current_price' and 'retrieve_stock_data', it's unclear what specific information this tool provides that others don't, leaving the agent to guess based on tool names alone.

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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