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Tokenized Stocks & Agent Data (x402)

boundary

Free. Machine-readable limits per product: sources, freshness, cache, rate limits, failure modes and what is NOT verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It adds useful behavioral context: the result is free and machine-readable, and it explicitly notes that some things are not verified. However, it does not disclose output format, latency, error behavior, or whether the data is static or dynamic.

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 front-loaded sentence that lists key content areas without padding. The word 'Free' is a minor extra, but it is short and does not detract from readability.

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 is adequate for a simple, parameterless metadata tool, naming the main content areas. However, without an output schema it does not specify the return format well enough for an agent to know exactly how to interpret 'machine-readable' output, and 'per product' is ambiguous given no product parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema is fully covered, so the description does not need to explain parameter meaning. The phrase 'per product' hints at context, but with an empty schema there is nothing to clarify.

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 identifies a specific resource: machine-readable limits per product, and enumerates the covered dimensions (sources, freshness, cache, rate limits, failure modes, unverified items). It is not a tautology and is distinguishable from sibling tools like health or menu, though it lacks an explicit verb such as 'retrieve' or 'list'.

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 guidance is given about when to call this tool versus alternatives, nor any conditions or exclusions. The content list implies it is for checking product limits, but the description does not explicitly state that or mention any sibling tools.

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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