Static source inference · medium confidence · detected: Logging
Deprecated protocol patterns detected
Summary
This server exhibits significant definition quality gaps across most tools. While all 13 tools have names and basic descriptions, the descriptions are frequently generic or incomplete. Schemas are present but minimal, most lack detailed parameter descriptions, type constraints, and output documentation. Error handling guidance is absent. The server spans multiple domains (database, GitHub, Slack, deployment) but tool compositions lack the chaining IDs and references needed for effective agent workflows. STDIO-only transport further limits production applicability.
Descriptions are too generic and lack actionability. 'Execute a database query', 'Run analytics', 'Get the current status' do not explain WHEN to use the tool, what the output contains, or what the agent should do next.
Output schemas are missing or undocumented. LLMs cannot determine what fields to expect, making downstream chaining impossible. For example, create_issue should return issue_id for use in add_comment; send_message should return message_id for use in read_thread.
Irreversible operations (update_data, deploy) lack explicit warning and do not offer dry-run or confirmation mechanisms. The deploy tool in particular should support a confirmation step before irreversible action.
Recommendations
Rewrite all tool descriptions to follow the LLM-optimized pattern: 'WHAT does it do? WHEN should the agent call it? WHAT does it return?' Example: 'Execute a SQL SELECT or aggregate query on the database. Use this to retrieve data; for inserts/updates, use update_data. Returns a list of rows with column names. Supports result limits (max 100 rows). Returns an error if the query contains CREATE/DROP/INSERT/UPDATE statements.' (50-150 chars, actionable).
Add output schemas for every tool. Example for create_issue: 'Returns {"issue_id": "string", "url": "string", "title": "string", "created_at": "ISO8601"}'. Output schema must include IDs and references needed by downstream tools.
Implement error handling and recovery guidance. For each tool, document common failure modes and next steps. Example: 'If execute_query returns "Syntax error", verify the SQL statement. If it returns "Permission denied", you lack database write access, contact the admin.' Use the recovery-guide pattern.
Add confirmation mechanism for irreversible operations. For deploy, add a 'confirm' step: require a confirm_deployment call before executing, or add a dry_run parameter to preview changes. Document this in the description.
Document chaining requirements. For create_issue, state: 'Returns issue_id. Pass this to add_comment to comment on the new issue.' For send_message, state: 'Returns message_id. Pass this to read_thread to fetch the message later.'
Spec posture evidence
Inferred effective spec: <=2025-11-25.
Relies on Logging (deprecated) - log to stderr or use OpenTelemetry
Error handling is absent. No guidance on recovery (retry, user input, fatal). For example, what if execute_query fails with syntax error? What if move_card targets a non-existent column? Tools should return actionable error messages with suggested next steps.
Parameter constraints are underdocumented. Enum values exist informally (e.g., 'dev, staging, prod' in description) but not as formal schema enums. This forces LLMs to guess valid values. get_deployment_status, send_notification have partial enums; others lack any constraint.
Tool compositions lack chaining IDs. If create_issue returns no issue_id, an agent cannot add_comment to the new issue. If send_message returns no message_id, read_thread cannot fetch it. Output must include IDs and references for downstream tool calls.
Weak or generic verb names lower discoverability and introduce ambiguity. 'get_board_status' is vague (status of what aspect?). 'run' in run_analytics is weak. 'process', 'handle' are absent but 'run' is used generically. Consider 'describe_board', 'analyze_metric', 'generate_report'.
Overlap between send_message and send_notification. Both send text to Slack channels. The distinction (notification has title, priority) is not explained. Consider whether they should be one tool with optional formatting, or clearly document when to use each.
Parameter descriptions lack format/constraint details. For example, 'version' in deploy has no guidance on format (semver? alphanumeric?). 'query' in execute_query has no length limit or type hints (SELECT only? or DDL allowed?). Descriptions should state expected format and constraints inline.
No pagination or result limits. Tools like read_thread, execute_query could return unbounded results. Per the rubric baseline, results should be capped at 20-50 items and include pagination metadata (next_cursor, total count).
execute_queryread_threadanalyze_code
Rename weak verbs. Change 'run_analytics' to 'analyze_metric' or 'generate_report'. Change 'get_board_status' to 'describe_board' or 'list_board_cards'. Follow the verb_noun pattern consistently.
Add per-parameter validation rules. Example for execute_query: '"query": {"type": "string", "description": "SQL SELECT query (max 5000 chars, SELECT/WHERE/GROUP BY only; DDL/DML not allowed)"}'. This prevents LLM hallucination.
Add pagination support to tools that may return multiple items. For read_thread: add 'limit' (default 20, max 100) and 'cursor' parameters. Return {"messages": [...], "next_cursor": "...", "total_count": 42}.
Clarify send_message vs send_notification. Either merge them (send_message with optional formatting) or document the semantic difference in both descriptions. Consider: send_message for conversational; send_notification for alerts with severity levels.
For database tools, add schema discovery. Add a 'describe_tables' or 'list_tables' tool that returns available tables and columns, so agents can self-discover the schema without trial and error.
Add security guidance: document which operations require authentication, what scopes/permissions are needed, and how secrets are injected (environment variables, not parameters). Currently no auth info is visible.
Add idempotency guidance for repeated calls. Example for create_issue: 'If called twice with the same repo/title, creates two separate issues. For idempotent creation, include a unique_key parameter and return the existing issue if found.'
Test output formats against actual Slack/GitHub/database responses. Ensure returned field names match what downstream tools expect. For example, if send_message returns 'message_id', verify that read_thread accepts 'message_id' and not 'msg_id' or 'id'.