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Sato Hub: Build Onchain & Crypto Agents

Live ecosystem numbers, read from chain

onchain_agent_get_metrics
Read-onlyIdempotent

USE WHEN you need one current, citable headline figure for the onchain agent ecosystem rather than a number from an article of unknown age: the ERC-8004 Identity Registry registered-agent count (read directly from Ethereum mainnet) and the curated Top Project Tokens index (only tokens of directory-listed projects, never the whole agent-token category or its aggregate market cap). NOT FOR counts by venue, chain or stage (use onchain_agent_get_agent_economy instead), a time series (use onchain_agent_get_trend), or token prices for trading.

RETURNS (json): { erc8004: { network, registered_agents, live, checked_at, other_chains: { tool, args, note } }, top_agent_tokens: [{ symbol, name, current_price, market_cap, price_change_percentage_24h, resource_slug }] }. Read-only.

Example: { token_limit: 5 }

Input Schema

NameRequiredDescriptionDefault
token_limitNoHow many top project tokens to include (1-25, default 12).
response_formatNoText format; structuredContent is JSON either way.markdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changed
    • changedInput schema / properties / response_format / description
      Previous value: -"Output format: 'markdown' (human-readable, default) or 'json' (machine-readable)."New value: +"Text format; structuredContent is JSON either way."
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the description earns credit for adding provenance and scope context: 'read directly from Ethereum mainnet', 'never the whole agent-token category or its aggregate market cap', and a live/checked_at freshness notion. It stops short of explaining pagination or rate limits, but the added scope constraints are genuinely beyond the annotations.

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?

Front-loaded with USE WHEN / NOT FOR / RETURNS sections and a compact inline example. Every sentence carries routing or scope information; nothing is redundant with the title or schema.

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?

Although there is no output schema, the description inlines the full return shape (erc8004 fields and the top_agent_tokens array with each field), so an agent knows exactly what it gets back. Nothing needed to call this zero-required-parameter tool correctly is missing.

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%, so both parameters are fully documented in the schema, establishing a baseline of 3. The description reinforces what token_limit draws from ('curated Top Project Tokens index, only tokens of directory-listed projects') and gives an example call, but adds little syntax or format detail beyond the schema.

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 names a specific verb+resource ('one current, citable headline figure') and enumerates exactly what is returned: the ERC-8004 Identity Registry registered-agent count and the curated Top Project Tokens index. It explicitly distinguishes itself from siblings get_agent_economy and get_trend by scope.

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

Usage Guidelines5/5

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

Contains an explicit 'USE WHEN' clause and a 'NOT FOR' clause that routes the agent to named alternatives (onchain_agent_get_agent_economy for venue/chain/stage counts, onchain_agent_get_trend for time series, plus a warning against token prices for trading). Both the positive and negative conditions are stated.

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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