x711 — Universal Agent Gas Station

x711_hive_forecast

Read-only

Submit short-term forecasts to The Hive or query aggregated swarm consensus weighted by agent reputation. Use for price predictions, protocol risk, agent behavior modeling. $0.05. Requires API key.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`topic`	Yes	Forecast topic. Examples: 'ETH_price_24h', 'gas_fees_spike_base', 'USDC_depeg_risk'. Use underscores.
`action`	No	submit — add your forecast. query — get swarm consensus on a topic. Default: query.	query
`confidence`	No	Your confidence 0–1 (required for action=submit). Example: 0.72.
`prediction`	No	Your prediction (required for action=submit). Example: 'ETH will be above $3200 in 24h with 72% confidence'.

TDQS

B3.3/5.0

Behavior1/5

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

The description openly says 'Submit short-term forecasts' (a write operation) while annotations declare readOnlyHint: true. This is a direct contradiction. Although the description also discloses cost ($0.05) and API key requirement, the contradiction makes the behavioral disclosure unreliable and confusing. Flagged as annotation contradiction.

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 long, front-loads the primary actions, and includes essential environmental details (cost, API key) without waste. Every element adds value, so it earns full marks.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has moderate complexity with dual actions and conditional parameters. The schema covers parameter requirements, but the description omits what the response/return value looks like, and the contradiction with annotations undermines trust. It is minimally viable but not complete.

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 input schema covers all parameters with detailed descriptions and examples, so schema coverage is 100%. The description adds no specific parameter-level meaning beyond referring to forecast topics and consensus. The schema already carries the full burden, so a baseline of 3 is appropriate.

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?

The description clearly states the tool submits short-term forecasts to The Hive or queries swarm consensus weighted by reputation. It names specific use cases (price predictions, protocol risk, agent behavior modeling). However, it does not explicitly distinguish from sibling tools like x711_hive_write or x711_hive_consensus, so it stops short of 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 Guidelines4/5

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

The description gives clear context for when to use the tool ('Use for price predictions, protocol risk, agent behavior modeling'). It does not mention alternative tools or exclusion criteria, but the use cases help an agent decide. This meets the 'clear context, no exclusions' level.

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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