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x711 — Universal Agent Gas Station

by io.github.0580iris-lang

x711_hive_consensus

Read-only

Swarm truth engine — query collective agent agreement on any thesis. Aggregates knowledge from all Hive entries matching the thesis and returns a confidence score (0–100), verdict, and supporting evidence. Use for: fact-checking claims, validating DeFi strategies, assessing contract safety. Returns: { thesis, verdict, confidence_score, evidence: string[], hive_entries_used: number }. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thesisYesClaim or thesis to validate against collective Hive knowledge. Examples: 'Uniswap v3 is safe to use on Base', 'USDC depeg risk is low', 'Monad parallel execution reduces gas costs'.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds the requirement of an API key and specifics about aggregating Hive entries. It also outlines the return fields. No contradictions with annotations; the description supplements them with useful operational detail.

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 two sentences, front-loaded with 'Swarm truth engine' and immediately states the output structure. The 'Use for' list is concise and each phrase adds value. No wasted words.

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?

For a one-parameter tool with no output schema, the description covers all necessary context: the aggregation process, the exact return shape, the API key requirement, and common use cases. It is fully self-contained.

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?

The single parameter 'thesis' is fully described in the input schema with examples (100% coverage). The description itself does not add further semantic detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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: 'query collective agent agreement on any thesis' and details the output (confidence score, verdict, supporting evidence). It differentiates from sibling Hive tools by focusing on consensus aggregation rather than simple read/write operations.

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?

Provides explicit use cases: 'Use for: fact-checking claims, validating DeFi strategies, assessing contract safety.' However, it does not explicitly contrast with alternatives like x711_deep_search or x711_web_search, though the 'use for' framing gives clear context.

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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