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agentkit__mcp_call

MCP JSON-RPC tools/call. The MCP handshake (initialize, tools/list) is FREE at /mcp so any MCP client can connect and discover tools; only tool execution is paid here. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: POST https://api.firstmention.uk/s/agentkit/mcp/call

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "method": "<method>"
    },
    "name": "agentkit__mcp_call"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNo
methodYes
paramsNo
jsonrpcNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses that calls are paid, the exact price ($0.01 USDC), the network and chain ID (eip155:8453), the x402 payment header location, and the full HTTP endpoint. It omits failure behavior, what happens if payment is missing or invalid, and whether any calls are free, so the safety/error profile is incomplete.

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?

Three dense sentences with no filler, front-loading the operation, then the free-vs-paid distinction, then price and endpoint. The payment mechanics sentence is packed tight but every clause carries information an agent needs.

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 paid proxy with a nested params object and no output schema, the description covers payment and endpoint well but leaves the required method value, expected response shape, and error/payment-failure semantics undefined. An agent knows how to pay but not exactly what to put in method or what comes back.

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 0%, so the description must compensate. It usefully documents where the payment object goes (params._meta["x402/payment"]), which is non-obvious, but leaves method, id, jsonrpc, and the rest of params unexplained and never states that method should be 'tools/call' despite method being required.

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 first sentence, 'MCP JSON-RPC tools/call', names the specific operation and transport, and the rest clarifies it is a paid proxy endpoint. An agent can tell it executes MCP tool calls rather than discovering them, though the phrasing assumes familiarity with JSON-RPC rather than stating plainly that it forwards a tool call to an MCP server.

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 explicitly routes discovery traffic (initialize, tools/list) to the free /mcp endpoint and reserves this tool for paid execution, which is real when-to-use guidance against an alternative. It does not state when not to use it, e.g. for local or unpaid MCP servers, so it stops short of full exclusions.

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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