rgltr is a governance framework for PydanticAI agents, not a traditional MCP server. Tools are demonstrated across multiple examples with varying quality. Most tools have descriptions but lack comprehensive parameter documentation and output schemas. Tool naming is reasonable (verb-noun patterns like get_customer, post_to_slack, delete_account, transfer_funds) but schema documentation is sparse. No explicit input/output validation or error handling guidance visible in tool definitions. The 8 tools are spread across examples and lack centralized, production-grade schema registration. This is an alpha-stage library (v0.1.6) focused on policy enforcement rather than tool quality standards.

• Document complete output schemas for all 8 tools. Specify field names, types, and whether results are paginated. Include any IDs or references needed for downstream tool chaining.
• Expand parameter descriptions to 50-200 characters following the baseline. For numeric parameters (customer_id, amount, invoice_id), add explicit constraints: 'Positive integer, e.g. 1-999999'. For string parameters, indicate valid formats.
• For destructive tools (delete_account, transfer_funds), implement and document a confirmation pattern: add a 'dry_run' parameter or require explicit 'confirm=true' to prevent accidental execution.
• Add error handling guidance: document what errors the tool may return, when they are retryable (network timeout) vs user-fixable (invalid customer_id) vs fatal (permission denied). Example: 'If customer not found, use search_customers() to find the correct ID.'
• For transfer_funds and delete_account, add explicit scope declarations and audit requirements. Document minimum permissions needed and what must be logged for compliance.
• Create a centralized tool registry or schema definitions file (JSON Schema or OpenAPI) rather than distributing tool defs across examples. This enables validation tooling and clearer governance rules.
• Expand web_search description from 'Performs web search' to 'Search the public web and return ranked results. Returns title, URL, snippet for each result. Supports limiting results via limit parameter (1-100). Subject to EXTERNAL boundary per policy.'