Query Here
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Agent tool discovery without reading loops

Proof-of-concept workflow for routing an agent from intent to an actionable integration path.

Scenario

A developer wants an assistant to find a way to automate browser screenshots. With a generic web search tool, the assistant often lands on tutorials, review posts, or forum threads before it reaches an API, CLI package, or MCP server.

Query Here flow

  1. The agent sends "browser screenshot API or MCP server" to POST /v1/search.
  2. Query Here returns candidates with access labels such as api, cli, andmcp.
  3. The agent follows evidence_links to provider docs or package pages instead of reading a generic article first.
  4. The agent uses agent_next_step to decide whether to call an API, install a package, or ask the user to handle login or payment.

Expected result

The assistant reaches an integration-ready surface faster and with less token spend. The operator can also inspect the returned confidence, source origin, and access metadata before trusting the result in a workflow.

Operational guardrails

Query Here does not silently treat every result as verified. Unverified live candidates keep lower confidence and evidence links are exposed so the agent or human operator can confirm the path before use.