Critical failures across all dimensions. The single tool 'evidence_markets' has an empty input schema ({}), no description visible in the tool definition, and no parameter documentation. The smoke test script references tool invocation but does not reveal the actual tool registration, schema, or description from the MCP server implementation. Without access to the server's tool definition code (mcp_server.py, mcp_bank_tools.py), only inferred existence is visible. The tool name 'evidence_markets' is a noun phrase, not a verb_noun action (should be 'get_evidence_markets' or 'list_evidence_markets'). No error handling guidance, no output schema documentation, no parameter constraints.

• Provide the actual tool registration code from mcp_server.py or mcp_bank_tools.py showing the full tool definition with schema and description.
• Rename 'evidence_markets' to 'get_evidence_markets' or 'list_evidence_markets' to start with an action verb and clarify intent.
• Add a non-empty description (50-200 chars) explaining what the tool does, when to call it, and what it returns. E.g., 'Retrieve current evidence market data including prices, volumes, and prediction probabilities.'
• Define an explicit input schema with proper JSON Schema types, even if currently empty. Document any optional parameters or constraints.
• Document the output schema with field names, types, and descriptions. Specify what 'structuredContent' contains and what fields the LLM should expect.