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Prism — Data Enrichment for AI Agents

wallet_helper

Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

Without annotations, the description transparently states it returns instructions and is free. No hidden effects or mutations are implied, making the behavior clear.

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 two concise sentences with no redundant information. The purpose and usage are front-loaded, making it efficient for an agent to understand.

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

Completeness5/5

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

For a zero-parameter tool with no output schema, the description fully covers what the tool does, when to use it, and its cost implications. No gaps remain.

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?

No parameters exist; schema coverage is 100%. The description adds value by noting the tool is free, but parameter semantics are inherently not needed.

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

Purpose5/5

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

The description explicitly states the tool returns step-by-step instructions for x402 USDC autopay setup. It clearly distinguishes from siblings by focusing on payment configuration, not snippet installation or endpoint listing.

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

Usage Guidelines4/5

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

The description directly advises using this tool when a paid tool returns a 402 error or when onboarding a new agent. It provides clear context but does not excludedly state when not to use it.

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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Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation3/5

Most tools are clearly distinct, but list_endpoints and pricing_info both expose endpoint and pricing details, which could cause an agent to call the wrong one. install_snippets, usage_stats, and wallet_helper have separate, well-defined purposes.

Naming Consistency3/5

All names use lowercase snake_case, but the style is mixed: install_snippets and list_endpoints follow verb_noun, while pricing_info, usage_stats, and wallet_helper are noun-based. The naming is readable but not uniform.

Tool Count4/5

Five tools is a reasonable, compact set for an onboarding and payment-helper server. However, for a server branded as 'Data Enrichment', the count reflects meta-support tooling rather than actual enrichment capabilities.

Completeness2/5

The set covers installation, endpoint discovery, pricing, usage stats, and wallet setup, but it includes no actual data-enrichment operations. Given the stated purpose, agents cannot perform the primary task through these tools.

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