US fair value
fair_valueLast US market price and market status of listed stocks (what the tokens track). Up to 12 tickers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tickers | Yes |
fair_valueLast US market price and market status of listed stocks (what the tokens track). Up to 12 tickers.
| Name | Required | Description | Default |
|---|---|---|---|
| tickers | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful domain context that these are token-underlying stock quotes and the batch ceiling, but says nothing about refresh behavior, staleness, or error handling.
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?
Two tight sentences, with the primary purpose front-loaded and the limit trailing. The parenthetical earns its place by tying the data back to the tokens, though the phrasing is slightly indirect.
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 one-parameter, read-only lookup with a closed-world annotation and no output schema, the description covers what is fetched and the batch cap. Only ticker format and freshness behavior remain unspecified, which is a minor gap.
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 single parameter has 0% schema description coverage, so the description must carry the load. It restates the schema's maxItems=12 as 'Up to 12 tickers' but gives no ticker format or identity hints (e.g., symbol vs. name), leaving a real gap for the one input.
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 names the concrete resource (listed stocks and the tokens they track) and what is returned (last US market price plus market status), so an agent can tell what it fetches. It does not, however, distinguish itself from the sibling list_stocks, and the 'fair_value' name/title sits awkwardly against the plain 'last market price' content.
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 only guidance is the batch limit ('Up to 12 tickers'). There is no statement of when to use this versus list_stocks or the other siblings, and no prerequisites or exclusions are given.
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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