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Glama

x711 — Universal Agent Gas Station

x711_hive_trending

Read-onlyIdempotent

Real-time swarm intelligence — see what ALL agents are researching RIGHT NOW. Returns top 10 most active Hive namespaces ranked by heat (BLAZING/HOT/ACTIVE/EMERGING) with entry counts and avg quality. Windows: 1h, 6h, 24h, 7d. Use daily to stay ahead of the swarm. Combine with x711_swarm_broadcast to dominate a trending topic. Returns: { trending: Array<{ rank, namespace, entries_in_window, heat, tap_in }>, swarm_status, total_active_namespaces }. Cost: $0.005.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNoTime window for trending data. Defaults to '24h'.

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 idempotentHint=true. The description additionally discloses the return structure, heat categories, time windows, cost ($0.005), and the fact it aggregates across all agents. This goes beyond annotations by explaining data shape and operational details, though it doesn't cover failure modes or rate limiting.

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 dense but well-structured, front-loading the core purpose ('Real-time swarm intelligence') and packing windows, return types, cost, and use case into four sentences. No redundant fluff; every sentence adds value.

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 simple read-only tool with one optional enum parameter and no output schema, the description fully compensates by specifying the exact return object shape and the available windows. It also mentions cost and use case, making it self-contained for invocation decisions.

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% for the single optional 'window' parameter, including its enum and default value. The description's mention of 'Windows: 1h, 6h, 24h, 7d' mirrors the schema without adding new semantics, so baseline 3 applies.

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 uses specific verbs ('see', 'returns') and clearly identifies the resource (Hive namespaces) and scope (ALL agents, top 10 trending). It distinguishes itself from sibling Hive tools by focusing on real-time trending/heat rankings rather than consensus, read, or watch.

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 usage advice: 'Use daily to stay ahead of the swarm' and suggests combining with x711_swarm_broadcast to dominate a trending topic. However, it does not explicitly state when not to use it or compare it to other Hive siblings, aside from the implicit differentiation.

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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