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PennyRail Transaction Router

Find a machine capability

pennyrail_find

Free natural-language discovery across PennyRail's live paid capability portfolio. Returns ranked products, exact prices, input hints, and x402 execute URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum candidates to return.
intentYesWhat the agent needs, in natural language.

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 full burden. It transparently lists return contents: ranked products, exact prices, input hints, and x402 execute URLs. However, it does not state whether the operation is read-only or whether any side effects, authentication, or rate limits apply.

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?

The description is a single, information-dense sentence. It front-loads the key purpose and packs concrete return details without wasted words.

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?

For a simple two-parameter tool with no output schema, the description provides useful return-value context. However, it lacks guidance on how the tool relates to pennyrail_quote and does not clarify ranking or pricing caveats, so it is adequate but not complete.

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 well. The description reinforces that 'intent' is a natural-language request, but it does not add meaningful parameter-specific detail beyond the schema.

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 clear verb ('discovery') and resource ('PennyRail's live paid capability portfolio') and enumerates what the tool returns. It is specific and helpful, though it does not explicitly distinguish itself from the sibling pennyrail_quote.

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 implies the tool is for exploratory natural-language discovery, but it gives no explicit guidance on when to use this tool versus pennyrail_quote. There is no mention of alternatives, exclusions, or prerequisite conditions.

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
Disambiguation4/5

The two tools have distinct roles: discovery versus exact quoting for a specified product. Some overlap exists because both return prices and execution URLs, but the descriptions make the intended use case clear enough to avoid major misselection.

Naming Consistency5/5

Both tools share the consistent 'pennyrail_' prefix and use a simple, predictable verb (_find, _quote). This follows a uniform convention and makes the tool set easy to navigate.

Tool Count3/5

Two tools is on the thin side for a server named 'Transaction Router,' but the pair covers a focused discovery-and-quoting workflow. It feels slightly minimal yet not unreasonable for the stated purpose.

Completeness4/5

The server covers the main pre-payment workflow: discovering products and obtaining exact quotes with execution URLs. It lacks a direct payment/execution tool, but since the quote returns x402 execute URLs, agents can complete the transaction outside this server without a dead end.