Static source inference · medium confidence · detected: Logging
Deprecated protocol patterns detected
Summary
This MCP server exhibits significant definition quality gaps across all nine tools. While tool names follow verb_noun conventions (look_up_queue, send_email, update_queue, etc.), descriptions are inconsistent and many lack proper parameter documentation. Parameter schemas are present but minimally described. No output schemas are documented. The codebase shows functional tool implementations but poor integration of MCP best practices for agent-friendly definitions. Most tools have descriptions under 100 characters, below the 194-character baseline for production tools. Error handling is present at the implementation level but not surfaced in tool definitions. No enum constraints, no pagination support, no actionable error guidance in tool descriptions.
Tools (9)
get_alldataread onlysource verified45/100
Fetching data from the database
look_up_queueread onlyauthsource verified65/100
Gets the Queue value as string and fetches the data through api call
send_emailwritesource verified
get the values in form of dictionary having keys as 'to' for the email address from a column and key as 'message' for message to be sent to email
send_emailwriteauthsource verified
Gets the Recepient Mail ID as string, Subject for the mail as string, Message Body for the mail as string
update_dbwritesource verified52/100
get the values in form of dictionary to update the db
update_queuewriteauthsource verified59/100
Gets the Queue or Case Owner value as string, Case Number as string and updates the DB with this Queue value for given Case Number through api call
Duplicate tool names: 'send_email' appears twice (Tool #2 and Tool #6) with different schemas. LLMs will not distinguish between them correctly, causing routing failures and tool selection ambiguity.
Generic tool descriptions lacking context. Example: 'Fetching data from the database' (get_alldata) does not explain WHEN to call it, what data it returns, or dependencies.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract results when return structure is unknown. Production tools must declare return types (e.g., JSON object with fields: id, status, timestamp).
Rename or refactor duplicate 'send_email' tools. If they serve different purposes (e.g., send_email_simple vs send_email_advanced), make names unambiguous. If they are redundant, remove one and consolidate functionality.
Include WHAT (e.g., 'Fetches all records from Case database'), WHEN (e.g., 'Use this to list all open cases before filtering'), and any prerequisites (e.g., 'Requires case_id to already exist'). Example: 'Fetches all active case records from the database. Use this to retrieve a complete case list before filtering or updating. Returns array of case objects with id, status, queue, and created_date fields.'
Document output schemas for every tool. Use JSON Schema format showing field names, types, and what each field contains. Example for get_alldata: 'Returns: { type: object, properties: { cases: { type: array, items: { type: object, properties: { id: string, status: enum, queue: string, created_date: ISO8601 } } }, total_count: number, next_cursor: string } }'
Add detailed parameter descriptions including format, length, valid values, and examples (but not example values that LLMs will reuse). Example for 'QueueValue': 'Queue identifier as a 2-10 character alphanumeric string. Valid format: QUEUE_[A-Z0-9]+. The queue must exist in the system before lookup. Common queues: QUEUE_SUPPORT, QUEUE_BILLING, QUEUE_TECH.'
Replace free-form string parameters with enum constraints where applicable. Example: StatusUpValue should be enum: ['open', 'in_progress', 'resolved', 'closed'] instead of type: string. Document valid options in the description.
Spec posture evidence
Inferred effective spec: <=2025-11-25.
Relies on Logging (deprecated) - log to stderr or use OpenTelemetry
Score history
Overall score trend
↑ 12 points across a rubric change (v1 → v2)
48/100
Scored
Grade
Overall
Spec posture
Rubric
2026-09-22
F
48
<=2025-11-25
v2
2026-03-09
F
36
-
v1
Gets the Status value as string, Case Number as string and updates the DB with this Status value for given Case Number through api call
No enum constraints on parameters accepting predefined values. 'StatusUpValue' likely accepts only a known set (e.g., open, closed, pending) but is defined as free-form string, inviting hallucinated invalid values from LLMs.
Tool definitions lack error guidance. Descriptions do not explain what happens on failure (e.g., 'Queue not found', 'Invalid email format', 'Database write rejected'). Per pattern:recovery-guide, errors must tell the LLM what to do next.
No pagination support documented for get_alldata. If the database is large, returning all records will blow the context window. Production tools should support limit/offset and return a total count or next_cursor.
Destructive operations (update_queue, update_status, update_db, send_email, write_excel, write_text) have no confirmation or dry-run step documented. Per pattern:confirmation-request, irreversible operations should support preview or confirmation to prevent agent mistakes.
Parameter 'record' in update_db is defined as array but has no description of the record structure (what fields are expected? what are required vs optional?). LLMs cannot construct valid payloads without schema details.
Tool descriptions do not indicate whether they modify state. Per pattern:command-tool, modifications (create, update, delete, send) must be explicit so agents know which calls are safe to retry and which have irreversible side effects.
Add error handling guidance to all tool descriptions. Example: 'If Queue not found, try list_available_queues() to see valid options. If API times out after 3s, retry once. If authentication fails, verify JWT token is fresh.'
Add pagination parameters to get_alldata: accept 'limit' (default 20, max 100) and 'offset' (default 0). Return 'total_count' and 'next_offset' in response. Document in description: 'Returns paginated results. Use limit (1-100, default 20) and offset for large result sets.'
For destructive tools, add optional 'dry_run' parameter (boolean, default false) or link to a preview/confirm tool in the description. Example: 'To preview changes before sending email, call preview_email_send() first. Set dry_run=true to validate input without sending.'
Clarify update_db parameter structure: provide example schema of 'record' array items. Example: 'record: array of objects, each with {id: string (required), field_name: string (required), new_value: any (required), timestamp: ISO8601 (optional)}. All records in one call must target the same table.'
Add state-modification indicators to all write/update/send tools. Prefix description with '[MUTATING]' or include in description: 'WARNING: This operation permanently updates the database. Changes cannot be undone. Verify parameters before calling.' This signals to LLMs that retry behavior is limited.
Split update_db into separate tools if it handles multiple entity types (users, cases, queues). Generic 'update' tools invite LLM confusion. Specific tools like update_case, update_user_status prevent misrouting.
Add idempotency guidance to tools where applicable. Example for update_status: 'Idempotent: calling this multiple times with the same case_number and status produces the same result. Safe for automatic retries.' (If not idempotent, state clearly: 'Non-idempotent: calling twice will create duplicate records.')
Document any rate limits or throttling in descriptions. Example: 'Rate limited to 10 calls/minute per user. If you hit the limit, wait 60 seconds before retrying.'
For tools that query external systems (look_up_queue), document expected latency and timeout behavior: 'Typically responds in <500ms. If no response within 5s, retry once. If still failing, the Queue API may be down.'
Add dependency hints in descriptions. Example for send_email: 'If you only have a username, call search_user() first to get email address. Do not guess email addresses, invalid recipients will fail silently.'