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x711 — Universal Agent Gas Station

x711_hallucination_pill

Read-only

Pre-flight reality check for on-chain AI agents. Verifies token addresses, prices, chain IDs, and contract existence before your agent acts. Catches hallucinated addresses that would cause irreversible losses. FREE: 5/day per IP, unlimited with API key.

Returns: { verified: bool, hallucination_risk: 'none'|'low'|'medium'|'high'|'critical', correct_value, correction, source, confidence }

Supports batch mode (up to 10 claims). Always run before any on-chain tx.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBlockchain context: base, ethereum, arbitrum, optimism, polygon, bnb. Defaults to 'base'.base
claimNoA single claim to verify. Example: 'USDC on Base is at 0x4Fabb145d64652a948d72533023f6E7A623C7C53'
claimsNoBatch mode: up to 10 claims to verify at once.

TDQS

A4.5/5.0
Behavior5/5

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

The description adds substantial behavioral detail beyond the annotations: it discloses the return object format with fields like 'verified' and 'hallucination_risk', mentions the free tier limit of 5/day per IP and unlimited with API key, and notes batch mode capacity of up to 10 claims. This goes well beyond the readOnlyHint, openWorldHint, and idempotentHint annotations, giving the agent a clear model of the tool's behavior.

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 front-loaded with the primary purpose, followed by a compact return schema and usage guidance. Every sentence adds value: purpose, consequence, pricing, return format, batch mode, and a clear directive. There is no redundant filler or repetition of the tool's name/title.

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?

Given the tool's simplicity (3 optional params, no output schema), the description is fully complete. It covers functionality, return structure, limits, batch mode, and when to invoke it. The agent has enough information to decide whether to use this tool and what to expect in response.

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%: all three parameters (chain, claim, claims) have descriptions in the schema. The description adds a brief mention of batch mode ('up to 10 claims') which aligns with the claims parameter's maxItems, but it doesn't clarify parameter usage beyond what the schema already provides. The baseline of 3 is appropriate since the schema carries the full parameter semantics.

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 identifies the tool as a 'pre-flight reality check' that 'verifies token addresses, prices, chain IDs, and contract existence.' This specific verb+resource combination distinguishes it from siblings like x711_price_feed (prices only) and x711_onchain_insight (broader analysis). The phrase 'catches hallucinated addresses' ties directly to the tool's name and title.

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 explicitly states 'Always run before any on-chain tx,' providing a clear when-to-use instruction. It positions the tool as a pre-flight check before agent actions. However, it doesn't explicitly name alternative tools or state when not to use it, though the 'before any on-chain tx' directive is a strong contextual signal.

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.

Resources