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solvscore_decision_info

[FREE] Info about the SolvScore Single Decision API - one full live SolvScore credit decision for 0.001 USDC via x402 on Base. POST https://solvscore.com/api/decision with JSON body {"agent": "", "principal_usd": } and an X-Payment header carrying an x402 payment for the resource https://solvscore.com/api/decision. The response includes the complete SolvScore credit decision: trust score, tier, APR, credit limit, collateral terms, underwriting reasons and the plain-English verdict. Malformed bodies and unknown agents are refused FREE (HTTP 422) before the payment gate - only real decisions cost the tenth of a cent. Landing page and browser form: https://solvscore.com/decision/ Facilitator: https://x402-agent-pay.com/facilitator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a good job: it discloses the 0.001 USDC price, the x402 payment mechanism on Base, and notably that malformed bodies and unknown agents are refused FREE (HTTP 422) before the payment gate. This is meaningful behavioral context beyond the schema.

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?

Dense but well-organized, front-loaded with the '[FREE]' tag and followed by payment, request format, response contents, and error behavior. Slightly long, but nearly every sentence carries actionable detail.

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

Completeness4/5

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

An output schema exists, so return values need not be restated, yet the description still enumerates the response fields (trust score, tier, APR, etc.). Combined with the payment and error behavior, an agent has enough to act correctly, though the relationship between this info tool and the actual paid endpoint could be sharper.

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?

The tool has zero parameters (baseline 4), but the description documents a JSON body ('agent', 'principal_usd') and an X-Payment header for the external endpoint rather than any tool parameter. That content is helpful for constructing the real call but risks being confused with this tool's own (empty) input.

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 names the specific API ('SolvScore Single Decision API') and describes its core function: one full live credit decision for 0.001 USDC. It is clear what the tool is about, though it does not explicitly distinguish itself from SolvScore siblings like solvscore_repgate or solvscore_vjps.

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?

Usage is implied rather than stated: an agent infers it should read this free info before paying for the real decision endpoint. There is no explicit when-to-use/when-not or direct comparison to the sibling tools that also relate to SolvScore.

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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