Skip to main content
Glama
ishuen

lottery-mcp

by ishuen

get_daily_cash_month

Retrieve Taiwan Daily Cash 539 lottery data for a specified month and year.

Instructions

Get lottery, daily cash (今彩539), data in the specified month Args: year: target year, e.g. 2024 month: target month, e.g. 5

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
monthYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. It repeats the parameter types but doesn't disclose whether this is a read-only operation, authentication requirements, rate limits, or any retrieval behavior; only the limited Args list adds minimal context.

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

Conciseness3/5

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

The description is short and mostly front-loaded with the core action, but the Args section lacks formatting and includes redundant examples (e.g., 2024, 5) that could be structured more cleanly.

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 simple two-parameter monthly data retrieval tool, the description tells the agent what it retrieves and which parameters to supply; since an output schema exists, return values need not be explained, so the description is nearly complete.

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 0%, but the description adds basic meaning for both year and month via the Args section, slightly compensating for the missing schema details even though the information (e.g., 2024, 5) is mostly inferable from the names.

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?

States a specific verb (Get) and resource (lottery, daily cash 今彩539) with scope (specified month), distinguishing it from siblings like get_super_lotto_month by naming the game type. Clear purpose, though no explicit differentiation beyond the name.

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

Usage Guidelines3/5

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

Implies usage through the month scope but offers no explicit when-to-use vs alternatives or when-not; the description alone doesn't help the agent choose among the four month-based lotto tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.