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Ask before you call. No key needed. Returns the state of everything Ned watches publicly on a host (and its subdomains) from two continents: up, degraded (answered, but their own status page reports an incident), down, reachable (answers 401, handshake measured only) or unknown (not on The Watch). Also since when, the last change seen (tool list, version, auth) and how soon to ask again. Try api.openai.com, api.anthropic.com, mcp.context7.com, status.github.com. If unknown, the answer says how to add it (first five watches free).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
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 well: it discloses that no API key is required, defines each possible state (e.g. 'degraded' = answered but the status page reports an incident, 'reachable' = answers 401, handshake only), and notes additional returns (since when, last change seen, when to ask again). It omits error behavior for malformed hosts and any concrete rate limits.

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?

It front-loads the key facts, but the second sentence is a long run-on carrying multiple parenthetical definitions, and the tagline 'Ask before you call' is more marketing than instruction. Content mostly earns its place, yet the delivery is denser and less scannable than it should be.

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?

There is no output schema and no annotations, and the description covers the state vocabulary, extra returned fields (since when, last change, next ask time), and the unknown-host workflow, which is nearly everything an agent needs. It stops short of specifying error cases or a precise polling interval.

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 0% and the single required 'host' parameter is undocumented in the schema, so the description must compensate. It does so with four concrete example hostnames, which make the expected format (bare domain, subdomains included) clear, though it never explicitly states the required format.

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?

It states a concrete verb and resource: it returns the live state of a host (and its subdomains) that the service monitors. The enumerated state vocabulary (up, degraded, down, reachable, unknown) makes the purpose precise, but it never references or differentiates itself from sibling tools such as watch_get or watch_register.

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?

It gives a clear use context ('Ask before you call. No key needed') and concrete example hosts (api.openai.com, api.anthropic.com, mcp.context7.com) that show the intended pre-flight check scenario. It also covers the unknown case and how to register a host, but names no alternative tool, so there is no explicit when-not-to-use guidance.

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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