The server provides 20 tools with mostly present descriptions and input schemas, but exhibits significant gaps in parameter documentation, output schema definition, and error handling guidance. Tool naming is generally clear and action-oriented (search_, get_, list_, send_, enable_, disable_, etc.), following the verb_noun convention. However, parameter descriptions are often minimal or missing semantic details (e.g., 'Tool parameters as key-value pairs' for call_internal_tool), and output schemas are not formally documented in the source. Many parameters lack type constraints, range documentation, or guidance on valid values. Error handling is minimal, tools do not provide recovery guidance or classify errors as retryable vs. fatal. Only ~50% of parameters have substantive descriptions; the remaining are either absent or generic. This is typical of community-grade servers and falls into the C/D range (fair to poor).

• Add formal JSON Schema output schemas to every tool. Document the shape of responses with typed fields, array boundaries, and required vs. optional fields. Example: get_system_summary should declare { type: 'object', properties: { status: {type: 'string'}, uptime_seconds: {type: 'number'}, ... }, required: [...] }.
• Expand parameter descriptions to include validation rules, valid value ranges, and examples of correct vs. incorrect input. For call_internal_tool.parameters, specify: 'Valid keys depend on the tool, fetch from list_internal_tools(include_parameters=true) first. All values must be JSON-serializable (string, number, boolean, object, array).'
• Implement error handling with recovery guidance. Return structured error objects like { error: 'invalid_plugin_name', message: 'Plugin "foo" not found. Did you mean: foo-beta, foo-legacy?', retryable: false }. Guide LLMs with actionable next steps.
• Add a confirmation step for destructive operations. Offer a dry_run parameter (restart_astrbot, uninstall_plugin) or a two-phase pattern: call with dry_run=true first, review output, then confirm with a token or flag.
• Refactor call_internal_tool to include a requires_schema parameter that returns the full input schema of the target tool, enabling agents to validate before calling. Alternatively, split into call_internal_tool (generic invoke) + get_internal_tool_schema (per-tool schema discovery).
• Add cursor/offset pagination to log and message listing tools. Example: get_compact_logs should return { entries: [...], next_cursor: 'abc123', has_more: true } and accept a cursor parameter.