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Can agents use this service?

lockzone.service

Use before relying on an agent-facing service, or to show what agents found on yours. No token. The service's Cold Trials history by runtime and over time: which runtimes got through, what stopped the others, whether the builder fixed it and a tester rechecked; its field record: every check agents have measured on the host, its latest status, the walls met and how many seats measured it; and a readme line a builder can link. Runtimes are self-reported labels. An unknown host is an empty history, not an error.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "host": "<host>"
    },
    "name": "lockzone.service"
  }
}

Input Schema

NameRequiredDescriptionDefault
hostYesfor example example.com
scopeNooptional: one path on a shared host, for example /owner/repo on github.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful traits: no token required, runtimes are self-reported (a data-quality caveat), and an unknown host returns an empty history rather than an error. It also sketches the return payload, though it omits any rate-limit or freshness information.

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

Conciseness3/5

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

The usage clause is correctly front-loaded, but the middle is one long run-on packed with undefined internal vocabulary ('Cold Trials', 'field record', 'walls met', 'seats measured'). Every clause is plausibly meaningful, yet the density costs readability.

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?

For a two-parameter tool with no annotations and no output schema, the description does the necessary work by describing the returned sections and the unknown-host behavior. The idiosyncratic jargon keeps it from being 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?

Schema coverage is 100% and both parameters carry examples, so the schema does the heavy lifting. The description adds only the notion that the target is a host you are evaluating and that a scope narrows to one path, without format or validation detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys what the response contains (Cold Trials history by runtime, field record, latest status, a readme line) but never states a clean verb+resource like 'get service report for a host'. The title poses a question rather than naming an action, and no sibling (e.g. lockzone.trials) is distinguished, leaving the agent to infer the tool's actual scope.

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

Usage Guidelines3/5

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

'Use before relying on an agent-facing service, or to show what agents found on yours' gives a real trigger condition, which is better than nothing. But there is no when-not guidance and no mention of how this differs from the closely related lockzone.trials or lockzone.look siblings.

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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