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chainread__simulate

Read-only Base/Ethereum chain data for AI agents: ENS name and reverse resolution, recent ERC-20 transfer logs, batched multi-read (20 reads in one call), tx preflight, token safety verdict, balances, gas, tx lookup, and a stateful watchlist monitor. 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/chainread/simulate

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

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

Input Schema

NameRequiredDescriptionDefault
opsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / chain
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / data
      Removed value: -{
      -  "type": "string"
      -}
    • addedInput schema / properties / ops
      Added value: +{
      +  "items": {
      +    "properties": {
      +      "address": {
      +        "type": "string"
      +      },
      +      "op": {
      +        "type": "string"
      +      }
      +    },
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • removedInput schema / properties / to
      Removed value: -{
      -  "type": "string"
      -}
  2. Added

TDQS

C2.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does usefully disclose that the endpoint is read-only, that each call costs $0.01 USDC on Base (eip155:8453) via x402 in `params._meta["x402/payment"]`, and that it is a POST to a specific URL. It does not disclose what happens when payment is absent, what ops are accepted, or what a response looks like — the substantive behavioural gaps for a one-parameter dispatcher.

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

Conciseness2/5

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

The text is a feature list rather than a front-loaded statement of what this tool does; the actual purpose is buried behind nine comma-separated capabilities, most belonging to other tools. The price and endpoint lines do earn their place, but the majority of the sentence is spent on scope that is not this tool's.

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?

This is an opaque single-parameter dispatcher with nested objects, no output schema and no annotations, so the description had to supply the `op` vocabulary and expected results. Instead it supplies a catalogue of sibling features plus payment mechanics, leaving the core invocation contract entirely undocumented.

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

Parameters1/5

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

Schema description coverage is 0% and the single `ops` parameter is an array of objects with undocumented `op` and `address` fields. The description never mentions `ops`, never lists valid `op` values, and never explains the address field, so it gives the agent no way to construct a valid call. The only near-relevant hint, "20 reads in one call", describes a sibling's behaviour rather than this schema.

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

Purpose2/5

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

The description opens with a resource statement ("Read-only Base/Ethereum chain data for AI agents") but then enumerates a catalogue of capabilities — ENS, ERC-20 logs, multiread, preflight, verdict, balances, gas, tx lookup, watchlist — most of which correspond to sibling tools, not to `simulate`. The word "simulate" is never explained, so an agent cannot tell what this specific tool does that `chainread__preflight`, `chainread__multiread` or `chainread__verdict` do not.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is given, and no sibling is named or excluded despite roughly twenty `chainread__*` siblings covering the same listed features. The only selection-relevant information is the price and transport, which says nothing about when this tool is the right choice.

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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