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Get COMEX Vault Watch

get_vault_watch

Returns COMEX warehouse inventory: registered, eligible, combined ounces, daily changes, open interest, oversubscribed ratio

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metalNoOptional metal filter; returns all 4 if omitted

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose any behavioral traits beyond the read-like verb 'Returns' – no mention of data frequency, safety profile, rate limits, or side effects. The schema's note about the optional metal filter is helpful but lives in the schema, not the description.

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?

A single, information-dense sentence that front-loads the action and resource, followed by a concise list of returned fields. Every word earns its place; no 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?

For a simple read-only tool with one optional parameter, the description plus fully covered input schema provide a functionally complete picture. The description lists all output fields, which partially compensates for the lack of an output schema. However, it omits usage context and data characteristics, keeping it from being outstanding.

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 input schema fully documents the single optional metal parameter with an enum and clear description of default behavior, so the description adds no additional parameter semantics. Baseline 3 applies due to full schema coverage.

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 uses a specific verb 'Returns' with a clear resource 'COMEX warehouse inventory' and enumerates the exact metrics (registered, eligible, combined ounces, daily changes, open interest, oversubscribed ratio). This makes it unambiguous and easily distinguishable from sibling price/analytics tools.

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?

The description provides no guidance on when to use this tool versus other get_* tools. It simply states what it returns, with no scenarios, prerequisites, or references to alternatives.

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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TDQS

A3.7/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness3/5

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.