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arc_analytics

Read-onlyIdempotent

Fetches Arc Mainnet block height, gas fees, and node metrics ($0.001 USDC)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeLatencyNoOptionally calculate live RPC round-trip latency

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
networkNoArc network name
successYesQuery status
blockNumberYesCurrent block height
gasPriceWeiYesGas price in wei

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / includeLatency
      Added value: +{
      +  "description": "Optionally calculate live RPC round-trip latency",
      +  "type": "boolean"
      +}
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "blockNumber": {
      +      "description": "Current block height",
      +      "type": "string"
      +    },
      +    "gasPriceWei": {
      +      "description": "Gas price in wei",
      +      "type": "string"
      +    },
      +    "network": {
      +      "description": "Arc network name",
      +      "type": "string"
      +    },
      +    "success": {
      +      "description": "Query status",
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "success",
      +    "blockNumber",
      +    "gasPriceWei"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint. The description adds one genuinely useful non-annotation fact: the call costs $0.001 USDC, which matters for an agent's decision to invoke it. It says nothing about rate limits, latency behavior, or freshness of the metrics.

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?

A single front-loaded sentence naming the three data categories, with the cost appended last. No filler or redundant restatement of the tool name.

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 described, and the safety profile is fully covered by annotations. The description is nearly complete for a parameterless paid fetch, losing only sibling differentiation and usage context.

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 100% and the single optional parameter (includeLatency) is fully documented in the schema, so the baseline is 3. The description adds no syntax or format detail beyond what the schema already provides.

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?

States a specific verb (Fetches) and resource (Arc Mainnet block height, gas fees, node metrics), so an agent knows exactly what data comes back. It does not differentiate itself from the overlapping sibling arc_network_oracle_query or base_analytics, which is the only thing keeping it from a 5.

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?

There is no when-to-use or when-not-to-use guidance and no named alternative, even though arc_network_oracle_query sounds like it could serve a similar need. Usage is only inferred from the data listed.

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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