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Faber Machine Market

faber_custom_assembly

Assembles structured information to a buyer-specified target, geography, horizon, metric, and purpose. Paid through FABER x402. Price: $0.03. Network: Base Mainnet (eip155:8453), currency: USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
paymentSignatureNoOptional x402 V2 PAYMENT-SIGNATURE value. Omit on the first call to receive the payment challenge, then sign it with an x402-capable wallet and retry.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully discloses that the tool is paid through FABER x402, costs $0.03, and runs on Base Mainnet in USDC, which is valuable context. It does not, however, describe side effects, output behavior, failure modes, or any post-payment handling.

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 compact: two sentences, with the primary function front-loaded and payment/network/currency details packed efficiently at the end. It earns its length, though the terminology could be more concrete without much extra cost.

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

Completeness2/5

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

There is no output schema and no annotations, so the description needs to cover expected return behavior and usage context. It omits what the caller receives, how the payment challenge flow completes beyond the schema hint, and when this tool is preferred over siblings. For an open-ended request object and a paid invocation, this is a meaningful gap.

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?

Schema coverage is only 50%, and the 'request' parameter is an open object with no defined properties. The description compensates by enumerating the intended request dimensions: target, geography, horizon, metric, and purpose. It does not specify types, formats, or examples, but it provides semantic meaning where the schema is essentially silent.

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 action ('Assembles structured information') and names the key customization dimensions ('target, geography, horizon, metric, and purpose'). It conveys a distinct custom-assembly role compared to the sibling tools, though it does not explicitly contrast itself with any sibling or define what the assembled information looks like.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when the tool should be used: when a buyer wants structured information customized along specific dimensions. However, it gives no explicit guidance about when not to use it or which sibling alternative to prefer, and the payment details are operational rather than selection-oriented.

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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