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wshobson

MaverickMCP

data_get_cached_price_data

Retrieve historical stock price data from local cache. Avoid external API calls by checking what data is available locally for a ticker and date range.

Instructions

Get cached price data directly from the database.

This tool retrieves data from the local cache without making external API calls. Useful for checking what data is available locally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker symbol
start_dateYesStart date in YYYY-MM-DD format
end_dateNoEnd date in YYYY-MM-DD format (optional, defaults to today)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description must disclose behaviors. It clearly states it reads from a local cache and does not make external API calls. This is sufficient for a simple read operation, though it could mention what happens on missing or empty data.

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 very concise with two sentences. The first sentence immediately conveys the main action and resource ('Get cached price data directly from the database'). Every sentence adds value without redundancy.

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?

Given the tool's simplicity (3 parameters, straightforward read operation), the description covers the core purpose and usage context. An output schema exists, so return values need not be detailed. It could be slightly improved by noting the behavior if data is not found, but overall it is adequate.

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 coverage is 100% with descriptions for all 3 parameters (ticker, start_date, end_date). The description does not add additional meaning beyond the schema's parameter descriptions, so baseline score of 3 applies.

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 explicitly states 'Get cached price data directly from the database' and 'retrieves data from the local cache without making external API calls', clearly identifying the resource (cached price data) and action (get). It also distinguishes from sibling tools like data_fetch_stock_data by highlighting the cache vs external call difference.

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?

The description includes 'Useful for checking what data is available locally', providing clear context for when to use this tool. While it does not explicitly state when not to use or list alternatives, the contrast with external fetching is implied by mentioning 'without external API calls'.

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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