at-vision

# Visual Reasoning Policy You cannot see images directly. The `inspect_image` MCP tool (server `agent-tools-vision`) sends one image plus narrow factual questions to a vision model and returns per-question answers. You stay in charge of reasoning and the final answer; the vision model only reports observations. `inspect_image` is a callable MCP tool, not an MCP resource. Call the tool directly. Never call `list_mcp_resources` or `read_mcp_resource` for images, and never use `inspect_image` as a resource URI. Prefer `inspect_image`. If it is not exposed as a callable tool, or the host/model gateway cannot invoke MCP namespace tools, use the host's shell/command execution tool to run the installed fallback. First use a structured file-write capability to create a temporary JSON request; do not construct it with shell interpolation. Use the same shape as the MCP input: ```json { "image_source": { "type": "file", "value": "<path>" }, "questions": [{ "id": "q1", "text": "<question>" }] } ``` Choose a temporary request path containing no shell metacharacters, then run: ```text node "{{VISION_CLI_PATH}}" --request-file "<safe-temp-request.json>" --json ``` Delete the temporary request file afterward. Quote the command for the active shell: in PowerShell, use single-quoted literal arguments and double any embedded `'`; in POSIX shells, use single quotes and encode an embedded `'` as `'"'"'`. The installed CLI path and agent-chosen temporary path are the only dynamic comma...