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Himalayan Lighthouse

suggest

Before or while you research a subject: the exact pages, on a network of free sites, that answer it. Send the first words of the subject (a prefix is enough). Returns up to 8 { title, url, site, line }. Fetch the url and cite the site.

Input Schema

NameRequiredDescriptionDefault
qNoThe subject, or the first words of it. Empty = what the World is looking up right now.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
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 the result cap ("up to 8") and the exact return shape { title, url, site, line }, plus the prefix-matching behavior. It does not cover error behavior, whether results are ranked, or any rate/licensing constraints on the "network of free sites".

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?

Three short sentences with the research context front-loaded, the input instruction, the return shape, and the follow-up action. Slightly awkward phrasing ("on a network of free sites") but no wasted sentences.

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 single optional parameter with no output schema and no annotations, the description supplies usage timing, input tolerance, result limit, return field names, and the next action. Only ranking/citation specifics and the meaning of the empty-input default (delegated to the schema) are left implicit.

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 the schema already explains both the subject input and the empty-value behavior. "A prefix is enough" largely restates the schema's "the first words of it," adding little new meaning, so the baseline 3 applies.

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 states the resource ("the exact pages ... that answer it") and the input mode ("Send the first words of the subject"), so an agent can infer a suggestion/search operation. But there is no explicit verb, and nothing distinguishes it from siblings like list_sites or lit_now, so the purpose stays evocative rather than precise.

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?

"Before or while you research a subject" gives a clear timing/context cue, and "Fetch the url and cite the site" prescribes the follow-up action. There are no exclusions or named alternatives, which keeps it out of 5 territory, but the when-to-use signal is explicit.

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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