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Both tools declare an output_schema and return structured_content alongside the text. get_alerts declares Vec<Alert>, so it answers with a top-level JSON array rather than an array nested in an object, which protocol revision 2026-07-28 is the first to allow. "No alerts" is simply []. get_forecast returns an object, for contrast. Error paths return a tool-level error: a tool declaring an output_schema MUST return conforming structured content, so a path with no data has to fail. The client compiles every declared outputSchema at connect time and validates results against it. rmcp does not do this; its docs point at the jsonschema crate, which is the one new dependency here. Each channel goes to its stated reader: content is forwarded to the model, structured_content is used as data, reporting how many items came back. A missing .env is no longer fatal, and the API key is checked after connecting rather than before. This supersedes #143, which bumped rmcp 0.3 -> 1.4 and failed CI because the 0.3 #[tool] macro API does not survive the jump. The rewrite was required either way, so the bump is folded in and taken to 3.0.0-beta.2, the first version with the 2026-07-28 model. list_tools is hand-written. #[tool_handler] generates one hardcoding ttl_ms: None, cache_scope: None, but both are required on a paginated result at 2026-07-28 (SEP-2549) and a strict client rejects the response outright. get_info does not pin ProtocolVersion::V_2026_07_28 either: rmcp's server never implements server/discover, so pinning would overstate support. Model identifier moves to claude-sonnet-5, replacing claude-sonnet-4-20250514, which is past end of life. Note that rmcp sends an array-rooted schema as written on every connection rather than projecting it down, so an older client rejects the tool list. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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An LLM-Powered Chatbot MCP Client written in Rust
See the Build an MCP client tutorial for more information.
Structured output
rmcp does not validate tool output, so this client compiles each declared outputSchema at connect time and checks results against it — the spec's client-side SHOULD. It uses the jsonschema crate, which rmcp's own documentation recommends.
The two channels go to different readers: content is forwarded to the model, while structured_content is used as data — the client counts the items it returns. See Structured Content.