get_speculationCalculates price multipliers comparing current spot to hypothetical target prices
| Name | Required | Description | Default |
|---|---|---|---|
| gold | No | Target gold price per oz | |
| silver | No | Target silver price per oz | |
| platinum | No | Target platinum price per oz | |
| palladium | No | Target palladium price per oz |
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?
No annotations are provided, so the description carries the full burden. It does not explicitly state that the tool is read-only, what it returns, or any potential side effects. The verb 'calculates' implies a safe computation, but this is not confirmed, and there is no mention of output structure or error behavior.
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 verb and clearly states the purpose. It contains no unnecessary words or redundancy.
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?
The tool has four optional parameters and no output schema. The description does not explain what the multipliers look like, how they are returned, or the behavior when only some parameters are provided. This leaves significant ambiguity for an agent attempting to use the tool correctly.
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 schema description coverage is 100%, with each parameter described as a target price. The description does not add meaning beyond the schema; it only restates 'hypothetical target prices' which is already in the schema. The baseline of 3 is appropriate since the schema handles the parameter documentation.
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 uses the specific verb 'calculates' and clearly identifies the resource ('price multipliers') and scope ('comparing current spot to hypothetical target prices'). This distinguishes it from siblings like get_spot_prices, which return current prices, and get_price_history, which returns historical data.
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 hypothetical price scenarios but does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions. There is no clear 'when-to-use' guidance beyond the implied context of the what-if scenario.
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.