This server has 7 tools, all with descriptions and input schemas visible in the Dockerfile manifest. However, the actual implementation code is NOT included in the source dump, only Dockerfiles, package.json files, and high-level structure are visible. This means tool definitions are INFERRED from the manifest (file paths and descriptions) rather than directly visible in the code. Per the hard rules, inferred tools are capped at 50. Additionally, parameter descriptions in the input schemas are extremely minimal (1-2 phrase descriptions like 'The Adaptive Card JSON to validate'), input schemas lack comprehensive type constraints, and there is no visible error handling guidance, output schema documentation, or recovery patterns. The tools appear to be utilities for validating and evaluating various domain-specific languages (Adaptive Cards, FetchXML, OpenAPI, Jinja2, Power Automate, regex, Power Fx), all read-only operations with low blast radius. However, the quality bar for LLM-facing tools is high: descriptions must be 50-200 chars and guide when/why to call the tool; parameters must have types and detailed constraints; output schemas must be documented. None of these baselines are met here. The server is STDIO-only (no HTTP transport listed; Dockerfiles are build artifacts, not deployment targets), which hard-caps the score at 50 for protocol readiness. Definition quality suffers from: (1) inferred tool definitions (capped at 50 per tool), (2) minimal parameter descriptions, (3) no visible output schema documentation, (4) no error handling patterns, (5) no security or permission gating. Average of 7 tool scores (~40-50 each due to inference cap) yields ~28-35 overall.

• Include actual tool implementation files (not just Dockerfiles) in source code dump so tool definitions can be verified directly instead of inferred.
• Expand parameter descriptions to 50-200 chars. For 'render-prompt', write: 'Jinja2 template string (required). Supports {{ variable }} syntax. Strings within {# ... #} are treated as comments. Variables undefined in the input dict render as empty. Example: "Hello {{ name }}, your balance is ${{ balance }}"' instead of just 'Jinja2 template string'.
• Document output schemas explicitly. E.g. for 'validate-card', document: 'Returns { "valid": boolean, "errors": [ { "field": string, "message": string } ], "warnings": [ ... ] }'. Without this, LLMs cannot extract validation errors.
• Add error recovery guidance. For 'evaluate-powerautomate-expression', on parse failure return: 'Syntax error in Power Automate expression at position 42: unexpected token '&'. Did you mean: power_automate_concat(a, b) instead of a & b?' vs just 'Error: parse failed'.
• Add input validation and constraints. For 'test-regex', constrain pattern length (min 1, max 5000 chars), declare supported regex flavor (ECMAScript vs PCRE), and validate flags. For 'lint-openapi', document OpenAPI version support (2.0, 3.0.x, 3.1.x) and return limits (e.g. max 100 violations reported).
• Implement tool annotations in schema: add 'readOnlyHint': true to all 7 tools so LLMs recognize they are safe to call without confirmation.
• For 'render-prompt', add sanitization and error messages for undefined variables. If a template references {{ unknown_var }} but variables lacks it, return: 'Variable "unknown_var" not defined. Available: name, balance, email' instead of rendering as empty.