Get Spot Prices
get_spot_pricesReturns current spot prices for gold, silver, platinum, and palladium with daily change percentages
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_spot_pricesReturns current spot prices for gold, silver, platinum, and palladium with daily change percentages
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing behavior. It clearly indicates a read-only operation by using 'returns,' but does not add details like currency, data source, or rate limits. However, for a simple getter, it is sufficiently transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the action ('Returns current spot prices') and lists the specific metals and derived metric. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter tool with no output schema, the description adequately explains what is returned (spot prices for four metals, daily change percentages). It omits units or currency, but the simplicity of the tool makes this acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so the baseline is 4. The description correctly does not need to explain parameter semantics since there are none to document.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns current spot prices for a specific list of metals (gold, silver, platinum, palladium) and includes daily change percentages. This is a specific verb+resource combination that distinguishes it from sibling tools like get_price_history.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for obtaining current spot prices, but does not explicitly mention when to avoid using it or name alternatives like get_price_history for historical data. The context is clear but lacks explicit exclusions or alternative references.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: portfolio management (add_holding, get_portfolio, get_analytics), market data (get_spot_prices, get_price_history, get_vault_watch), market intelligence (get_daily_brief, get_stack_signal), calculations (get_junk_silver, get_speculation), and AI interaction (chat_with_troy). Even the multiple get_* tools are well-separated by their specific outputs.
All tool names follow a consistent verb_noun snake_case pattern. Most use the verb 'get_' for data retrieval, while 'add_holding', 'chat_with_troy', and 'scan_receipt' use other verbs but still match the same structural convention, making the set predictable and easy to navigate.
With 12 tools, the server is well-scoped for its stated purpose of precious metals portfolio management and market analysis. Each tool earns its place, covering data retrieval, calculations, and AI assistance without being bloated.
The server covers portfolio creation (add_holding) and reading (get_portfolio, get_analytics) but lacks update or delete operations for holdings. This means users cannot correct errors or record sales, which is a notable gap in the lifecycle for a portfolio management tool.