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ThaiTrevor

gold-mcp

by ThaiTrevor

get_gold_seasonality

Analyze gold's seasonal return patterns by day of week or month, using historical data over a selectable lookback period.

Instructions

Historical seasonality stats for gold returns.

Args: group_by: "dow" (day of week) or "month". lookback_years: Years of history to include.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_byNodow
lookback_yearsNo
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 disclosing behavioral traits. It implies a read-only operation via 'historical' but does not explicitly state that, nor does it mention side effects, permissions, rate limits, or output format. This lack of transparency is a gap for a tool that has no other metadata.

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 extremely concise, with no filler text. The first sentence states the purpose, and the Args list efficiently covers the parameters. Every element earns its place.

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 that there is no output schema and no annotations, the description should explain what the tool returns and any relevant behavioral details. It only says 'historical seasonality stats' without describing the output structure, statistical measures, or any caveats. This is incomplete for a tool with two parameters and no other metadata.

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 the allowed values for group_by ('dow' or 'month'), which are not present in the schema's input properties. However, it merely restates lookback_years ('Years of history to include') without adding deeper meaning, and it does not explain how parameters affect the output.

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 clearly states the tool's function: 'Historical seasonality stats for gold returns.' It uses a specific resource (gold returns) and distinguishes itself from sibling tools like get_gold_price and get_gold_ohlcv, which address different data types.

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 guidance on when to use this tool versus alternatives. The description does not mention use cases, exclusions, or alternative tools, leaving the agent without explicit context on appropriate invocation.

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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