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MCP Diligence Rail

wever_mcp-diligence-rail

Paid URL: 0.10 USDC per call on Base; 10 signed-wallet free calls shared over rolling 30 days. Free computation: /api/mcp or /api/service-resolver. Read the backend 402 body for x402 terms. Review submitted MCP tool declarations and list missing annotations and actions that change data or spend money. Operating boundary: Supply MCP tool declarations. Read the annotation inventory and review items. Agents compare the declared interfaces; humans review the actions and choose which tools to connect. POST /api/mcp-diligence-rail. Existing product credentials, signed mandates, and single-use action grants remain required where applicable. This adapter grants no authority and never supplies server credentials. This current operation is a bounded computation on caller-supplied data.

Input Schema

NameRequiredDescriptionDefault
toolsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, and destructiveHint=false. The description adds useful context about pricing, free-call limits, required credentials, no granted authority, and no server credentials supplied, which helps an agent understand cost and security behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but not excessively long. However, it leads with pricing and endpoint details before stating the core purpose, so the most important selection information is not front-loaded.

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?

Given no output schema, the description explains that it reviews declarations and lists missing annotations and risky actions. It covers payment, credentials, authority limits, and computation scope, leaving only minor gaps around return format and output detail.

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

Parameters2/5

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

The tool has one parameter, tools, with 0% schema description coverage. The description says to supply MCP tool declarations and references an annotation inventory, but it does not explain the required name field, optional annotation fields, item limits, or string constraints beyond what the schema already encodes.

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 and resource: review submitted MCP tool declarations and list missing annotations and actions that change data or spend money. It is clear what the tool does, but it does not explicitly differentiate itself from the many sibling tools.

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?

It provides an operating boundary: supply MCP tool declarations, read the annotation inventory and review items, and distinguishes agent comparison from human review. It also mentions free computation endpoints versus the paid URL, though it does not name alternatives for similar diligence or audit tasks.

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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