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engines

Read-onlyIdempotent

Lists all valid search engine names for the engines= parameter, enabling discovery of installable engines before use.

Instructions

List engine names accepted by the engines= parameter of search / research.

Best for:
- Discovering what's installable before passing a non-default engine.
- Building user-facing UIs that let humans pick engines.

Not recommended for:
- Calling on every search — the list is static; cache it.

Returns:
- The live, complete list of engine name strings. The buckets below are
  illustrative; always trust the returned list over this doc.

Common mistakes:
- Passing one of these names as a query to `search` — they go in the
  `engines=` argument, not `query`.
- Passing a key-only engine (brave_api/serper/tavily/google_cse) with no key
  configured — it returns an actionable error, not results.

Defaults: duckduckgo + mojeek + googlenews + bing (reliable, all-HTTP,
          low-latency; googlenews is an RSS index with structured publish
          dates and its URLs resolve to the real publisher on
          fetch/research; bing's www4 edge answers in ~0.3s).
Keyless opt-in: google + serpsearch (Google SERP scrapers, HTTP-first),
          anysearch (JSON aggregator), startpage (browser-rendered, slower),
          brave (PoW captcha after a few calls), baidu
          (CN index), bilibili (CN video), zhihu (CN Q&A, often login-gated),
          searx (public-instance meta-search; set SEARCH_MCP_SEARX_INSTANCES
          if it returns nothing).
Key-required (configure via admin UI / SEARCH_MCP_*_API_KEY): brave_api,
          serper, tavily, google_cse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint. The description adds valuable context: return is live/complete, buckets are illustrative, trust returned list over doc, and details on defaults, keyless, and key-required engines. No contradictions.

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?

Well-structured with clear sections (summary, best for, not recommended, returns, common mistakes, defaults, keyless, key-required). However, somewhat verbose; could be slightly more concise.

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?

Extremely complete: covers purpose, usage guidance, behavior, common mistakes, and different engine categories. Output schema exists (though not shown) and annotations cover safety. No gaps.

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?

Input schema has zero parameters with 100% schema description coverage (by trivially having none). Description adds no param details because none exist. Baseline 4 for zero parameters.

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 clearly states it lists engine names for the `engines=` parameter of `search`/`research`. It distinguishes itself from sibling tools by specifying that it is for discovery and UI building, not for executing searches.

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

Usage Guidelines5/5

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

Explicitly provides best-use cases (discovering installable engines, building UIs) and not-recommended scenarios (calling every search due to static nature, caching recommended). Also lists common mistakes to avoid.

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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