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Recommend Evernode hosts (live)

recommend_hosts
Read-onlyIdempotent

Fetch and rank live Evernode hosts by cheap, capacity, or reputation, with optional filters. Also rank your own host list.

Instructions

Fetch + rank live Evernode hosts from OnLedger (api.onledger.net, real-time from the Xahau registry) by cheap | capacity | reputation, with optional filters. Or pass your own hosts list to rank it. Real data only — never invents hosts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostsNooptional: rank this supplied list instead of fetching live
limitNomax hosts (default 10)
preferNo
countryNo2-letter ISO code, e.g. DE, US, JP
min_slotsNominimum free instances (default 1)
min_ram_mbNo
min_reputationNo0–255 host reputation floor

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
noteNo
queryNo
preferNo
rankedNo
sourceNo
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds real-time source (api.onledger.net), ranking criteria, and assurance of no invented data. This complements annotations without 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?

Two sentences: the first efficiently covers source, ranking modes, and filters; the second adds an alternative use case. No superfluous 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 tool with 7 optional parameters and existing output schema, the description covers core functionality (fetch/rank/filter) and important behavioral constraints (real data only). Agents have sufficient information to select and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 71% (5 of 7 parameters described). The description adds value by explaining the 'hosts' parameter for ranking a supplied list and the 'prefer' parameter's options (cheap/capacity/reputation), going beyond the schema.

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 ('Fetch + rank') and identifies the resource ('live Evernode hosts from OnLedger'). It distinguishes the tool from siblings by focusing on host recommendation, which is unique among the listed sibling 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 provides clear context: fetch and rank live hosts, or pass your own list to rank. It states when to use it (real data) and what it avoids (never invents hosts). However, it doesn't explicitly exclude alternative tools, though sibling separation is clear.

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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