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x711 — Universal Agent Gas Station

x711_wallet_investigate

Read-onlyIdempotent

Forensic address intelligence report via Blockscout multi-chain. Returns: balance, age, entity label (exchange/contract/whale/EOA), transaction history summary, token holdings, risk flags (mixer, drainer, blacklisted). Run before sending USDC to any unknown address. Supports: base, ethereum, arbitrum, optimism, polygon, gnosis. $0.05. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain to query. Options: base, ethereum, arbitrum, optimism, polygon, gnosis. Default: base.base
addressYesEVM wallet address to investigate. Must be a valid 0x address (42 chars). Example: '0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913'.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnly, openWorld, and idempotent hints. The description adds valuable behavioral context beyond these: cost ($0.05), authentication requirement (API key), supported chains, and the type of intelligence returned. No contradiction with 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?

The description is compact and information-dense. It front-loads the primary action ('Forensic address intelligence report'), then lists outputs, usage scenario, supported chains, cost, and auth requirement in a few efficient sentences with zero filler.

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?

For a read-only query tool with no output schema, the description covers essential aspects: what it returns, when to use it, supported chains, cost, and required API key. It does not describe error handling or output format, but the listed return fields provide adequate context for an agent to select and invoke the tool.

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 coverage is 100%, with both 'address' and 'chain' having descriptive text. The description restates the chain options but does not add significant meaning beyond the schema. Baseline 3 applies because the schema already documents the parameters well.

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 clearly states the tool's purpose: 'Forensic address intelligence report via Blockscout multi-chain.' It specifies the resource (EVM address) and the action (investigate), and enumerates the outputs (balance, age, entity label, transaction summary, token holdings, risk flags), distinguishing it from generic data retrieval 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?

The description gives a concrete use case: 'Run before sending USDC to any unknown address.' This implies when to use the tool, but it does not explicitly mention alternatives or when not to use it. It provides clear context without 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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TDQS

B3.4/5.0
Disambiguation2/5

Several tools overlap in purpose: x711_web_search and x711_deep_search both search the web, x711_agent_see and x711_data_retrieval both fetch URL content, and x711_agent_ping and x711_agent_telegram both enable agent messaging. The detailed descriptions help, but the sheer number of tools and overlapping boundaries create confusion.

Naming Consistency3/5

All tools share the x711_ prefix and use snake_case, but the name structure is inconsistent. Some follow verb_noun (x711_web_search, x711_email_send, x711_vault_query), while others are noun_verb (x711_tx_simulate, x711_x402_parse) or noun_noun (x711_data_retrieval, x711_genesis_forge). Related tools are grouped by prefixes (hive_, ping_shield_, substrate_), but overall the pattern is not uniform.

Tool Count2/5

47 tools is far above the typical well-scoped range. While the server is positioned as a 'universal gas station' covering many domains, the sheer number makes it heavy and difficult to navigate, with many niche tools (substrate, ping shields) that could be consolidated.

Completeness2/5

Despite the large tool count, there are significant lifecycle gaps. Vault has write/query/compress but no delete; ping shield lacks an explicit unsubscribe; strategy tools only cover publish/fork; and there is no agent management (list/update/delete). Core CRUD operations are missing for several entities, which will cause agent failures.

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