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tokenized_stocks

Tokenized stocks on Solana (xStocks): which tokens are the issuer's (mint authority read on chain), price, liquidity, volume; with a symbol, a $1,000 buy and sell quote (round-trip cost) and the look-alike fake tokens. $0.005

Input Schema

NameRequiredDescriptionDefault
symbolNooptional ticker: AAPL, TSLA, SPY, NVDA...
paymentNoa signed x402 payment (the same base64 payload you would put in the PAYMENT-SIGNATURE header). Pass it here and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses some behavior: it reads mint authority on chain, provides buy/sell quotes for a $1,000 amount, identifies fake tokens, and costs $0.005. However, it does not state whether the tool is read-only, whether the payment parameter is required for access, how fresh the data is, or what the response format looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence, front-loaded with the core resource ('Tokenized stocks on Solana (xStocks)'). Every clause adds a concrete feature, though the semicolon-heavy structure makes it slightly hard to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lists several returned data points (issuer, price, liquidity, volume, quotes, fake tokens), which is helpful given no output schema. But it omits response shape details, data freshness, behavior when symbol is omitted, and how payment works—important gaps for a tool with no annotations or output schema.

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?

Schema description coverage is 100%, so the schema already documents both parameters. The description adds only that a symbol triggers a buy/sell quote and fake-token check, but it does not specify what happens when symbol is omitted (the schema marks it optional) or how the payment parameter interacts with the $0.005 cost.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and scope: 'Tokenized stocks on Solana (xStocks)' and lists what it reports (issuer verification via mint authority, price, liquidity, volume, quotes). It does not explicitly name a sibling alternative, but the resource is sufficiently distinct from general token tools like token_lookup or evm_token_info.

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?

No when-to-use, when-not-to-use, or alternative tools are mentioned. The agent gets only a feature list, with no guidance on when this tool should be chosen over token_lookup, arc_token_info, or other token-related siblings.

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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