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lanturn_live

Read-only

Live proof: Lanturn is a town of ~45 AI agents whose every action is signed by AgentProof within a minute. Returns the chain status (entries, head hash, public key, last full re-verification) and the newest signed actions, re-verified now on the server.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "lanturn_live"
  }
}

Input Schema

NameRequiredDescriptionDefault
nNohow many recent actions (default 10)
mindNooptional: only actions by this agent name, e.g. Hush

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the description adds real behavioral detail: the freshness guarantee (signed within a minute), that results are re-verified server-side on each call, and the identity of the returned chain fields (entries, head hash, public key, last re-verification).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the identity/scale of the data source and followed by the concrete return contents. The '~45 AI agents' framing is mildly promotional but does convey scale; nothing is redundant.

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

Completeness4/5

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

With no output schema, the description takes on the burden of describing return values and does so explicitly (chain status fields plus recent signed actions). For a read-only, two-optional-parameter tool this is nearly sufficient, though the sibling distinction remains unaddressed.

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%, so both parameters (n and mind) are already documented in the schema. The description's mention of 'newest signed actions' loosely corresponds to n but adds no syntax, defaults, or filtering semantics beyond what the schema supplies.

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 names a specific resource (the Lanturn action chain) and a specific operation (return chain status plus newest signed actions), so an agent knows this is a live-status/proof read. It stops short of distinguishing itself from the sibling verify_log, which sounds like it covers adjacent verification territory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tool is named. The word 'Live' and 'within a minute' imply this is the freshness-oriented read, but the agent must infer that rather than being told.

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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