research: CAP model handling, model-as-tool and skill delegation (cap-protocol, +59 sources, 2 conclusions)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-25 18:24:40 +01:00
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+# MCP specification 2025-06-18: Sampling (model preferences)
+
+## Metadata
+
+| Field | Value |
+|---|---|
+| Institute | Molodetz Institute — Research & Retrieval Division |
+| Subject | cap-protocol |
+| Document type | Source Dossier |
+| Tier | 1 |
+| Source title | MCP specification 2025-06-18: Sampling (model preferences) |
+| Source URL | https://modelcontextprotocol.io/specification/2025-06-18/client/sampling |
+| Source publisher / author | Model Context Protocol project |
+| Source type | standard |
+| Source date (published) | 2025-06-18 |
+| Date researched | 2026-10-25 |
+| Researched by | tai (agent), model: Claude Sonnet 5, on behalf of retoor |
+| Research method | direct page fetch |
+| Confidence | High |
+| Status | Active |
+
+## Summary
+
+The MCP feature by which a server asks the client's model for a completion, notable here for its model-selection abstraction.
+
+## Key findings
+
+- A server cannot simply request a model by name because the client may not have that model or may prefer another provider's equivalent.
+- Preferences combine three normalized priorities, `costPriority`, `speedPriority`, `intelligencePriority` (0 to 1), with optional `hints`.
+- Hints are substrings that match model names flexibly, are evaluated in order, MAY map to equivalent models from other providers, and are advisory: 'clients make final model selection'.
+- Example: hints `claude-3-sonnet` then `claude`, with cost 0.3, speed 0.8, intelligence 0.5.
+- Humans in the loop: there SHOULD always be a way to deny sampling requests; clients SHOULD show requests and responses for review, rate-limit, and respect hints.
+
+## Pros / strengths
+
+A finished, widely implemented answer to 'how does a caller name a model without knowing the callee's catalog': substring hints plus capability priorities, resolved by the owner of the models.
+
+## Cons / limitations / caveats
+
+Priorities are unitless hints; the spec does not say how a client turns them into a choice.
+
+## Relevance to tai
+
+Matches the shape of tai's fuzzy `@model` resolution (substring-style hints resolved by the side that knows the catalog). A tool input of `hints` plus optional priorities is a precedent for `ask_agent(model_hint=...)`. Human-in-the-loop rules inform the approval default.
+
+## Changelog
+
+| Date | Change |
+|---|---|
+| 2026-10-25 | Initial dossier created. |