The server defines 9 tools with clear action-verb naming and reasonable parameter schemas. All tools have descriptions and input schemas with typed parameters. However, descriptions are minimal (15-40 chars on average), lack context about when to use each tool, and do not explain the multi-step workflow required to manage sessions (start → list/get → control). Output schemas are completely undocumented, the LLM has no visibility into what fields get_logs or describe_session return, forcing inference. Error handling is absent: no guidance on retryability, no actionable recovery steps, no explanation of what 'session not found' means in context. Parameter descriptions are functional but terse (e.g., 'Service name' instead of 'The name of the service to act on, as returned by list_services'). Security is well-designed (session IDs are used instead of exposing credentials), but the tool interface does not match typical chat workflows, users say 'restart the database service', but the tool requires a session_id that must be obtained through a separate start_session call. No batch operations for common multi-step patterns like 'stop all services and disable them'.
No output schemas documented for any tool. LLM cannot infer what fields to expect from responses (e.g., does list_services return {name, status, uptime}? or {id, service, state, health}?). Agents must guess or fail.
Descriptions are too brief (avg 40 chars, baseline 194 chars). They lack context about when to call each tool, what state changes occur, and how tools relate. For example, start_session and describe_session are not distinguished by description alone.
Add output schema documentation for each tool. Example for list_services: 'Returns {services: [{name: string, status: "running"|"stopped"|"failed", health: "healthy"|"unhealthy"|"unknown", uptime_seconds: number}], total: number}'. Use JSON Schema notation in tool descriptions or a separate schema field.
Expand tool descriptions to 80 - 150 chars. Include WHEN and WHY to call each tool. Example: 'List all services in the session specified by session_id. Call this first to discover available services, or after state changes to confirm status. Returns service objects with name, current status, and health indicator.'
Enhance parameter descriptions with concrete guidance. Example for 'service': 'The name of a service to operate on. Obtain service names via list_services(). Example: "api", "database", "cache".' Example for 'tail': 'Number of log lines to retrieve from the end of the log file (1 - 10000, default 100). A value of 0 returns all logs up to the current limit.'
Document state transitions and idempotency. Example for restart_service: 'Stops the service (gracefully, with 30-second timeout) and starts it. Can be safely retried if it fails. If the service is already running, it will be stopped first. Returns the new status once startup completes or a timeout is reached.'
Clarify enable/disable semantics. Rename or document: enable_service: 'Enable auto-start for a service on next session boot. Does not affect currently running services.' disable_service: 'Disable auto-start for a service and optionally stop it now (requires a separate stop_service call). Does not affect currently running services unless explicitly stopped.'
Parameter descriptions lack actionable detail. 'Service name' and 'Session identifier' are generic. LLM cannot learn that service names come from list_services response or that session IDs are returned by start_session. No guidance on valid ranges (e.g., tail: 1 - 10000).
No error handling guidance. Tools do not document retryability, recoverable vs. fatal errors, or what to do if session is invalid or service not found.
Semantic ambiguity in enable/disable vs. start/stop. Tools do not clarify whether enable means auto-start on boot vs. start now, or whether disable stops a running service. Users will misuse tools due to unclear state transitions.
Session ID is required for every operation but tools do not indicate whether it must be obtained from start_session first. LLM may attempt operations on non-existent sessions. Discovery tool (describe_session) should be called first but no tools hint at this dependency.
No batch operations for common multi-step workflows. Stopping and disabling all services requires 2 calls per service; bulk operations would reduce token cost and latency.
stop_servicedisable_service
Add error recovery guidance. Example: 'If session_id is invalid, call start_session() with the config_path to obtain a valid session. If service name is not found, call list_services(session_id) to confirm available names.'
Add dependency hints to tool descriptions. Example for list_services: 'Requires a valid session_id from start_session(). Call start_session(config_path) first if you do not have a session_id.'
Consider batch operations for destructive/repetitive workflows. Add tools like stop_all_services(session_id, exclude: [string]) or set_services_enabled(session_id, service_names: [string], enabled: boolean) to reduce multi-call overhead.
Document get_logs output format. Specify whether logs are plaintext, JSON, or structured, and whether ANSI escape codes are stripped. Example: 'Returns {logs: string, tail_count: number, total_lines: number}. Logs are plaintext with ANSI color codes removed.'
Define timeout behavior and error codes. Example: 'If a service fails to start within 30 seconds, returns {status: "timeout", error: "Service did not respond within 30s. Check logs with get_logs() for details."}'