mmp_get_state
Read MMP mapping, cohort, and funnel state
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| connection_context | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Read MMP mapping, cohort, and funnel state
| Name | Required | Description | Default |
|---|---|---|---|
| connection_context | No |
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Changes observed during successful MCP inspections.
Output schema / then / properties / categoryAdded value: +{
+ "type": "string"
+}Output schema / then / properties / expectedAdded value: +{
+ "type": "boolean"
+}Output schema / then / properties / failure_kindAdded value: +{
+ "type": "string"
+}Output schema / then / properties / responsibility_hintAdded value: +{
+ "type": "string"
+}Output schema / then / properties / routeAdded value: +{
+ "type": "string"
+}Output schema / then / properties / user_visibleAdded value: +{
+ "type": "boolean"
+}Input schema / properties / connection_contextAdded value: +{
+ "pattern": "^mctx_v1_[0-9a-f]{64}$",
+ "type": "string"
+}Output schema / else / anyOfPrevious value: -[
- {
- "properties": {
- "apps_count": {
- "type": "integer"
- },
- "available_channel_pids": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "available_events_sample": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "connected": {
- "type": "boolean"
- },
- "providers": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "safe_mode_reduced": {
- "const": true
- }
- },
- "required": [
- "connected",
- "providers",
- "apps_count",
- "available_channel_pids",
- "available_events_sample",
- "safe_mode_reduced"
- ]
- },
- {
- "properties": {
- "cohort_configs_by_connection": {
- "additionalProperties": {
- "additionalProperties": {
- "properties": {
- "aggregation_type": {
- "type": "string"
- },
- "cohort_type": {
- "type": "string"
- },
- "groupings": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "kpis": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "last_used_from": {
- "type": [
- "string",
- "null"
- ]
- },
- "last_used_to": {
- "type": [
- "string",
- "null"
- ]
- },
- "min_cohort_size": {
- "type": "integer"
- },
- "partial_data": {
- "type": "boolean"
- },
- "period_filters": {
- "items": {
- "type": "integer"
- },
- "type": "array"
- },
- "preferred_currency": {
- "type": "boolean"
- },
- "preferred_timezone": {
- "type": "boolean"
- },
- "provider": {
- "type": "string"
- },
- "provider_app_id": {
- "type": "string"
- },
- "selected_channel_pids": {
- "items": {
- "type": "string"
- },
- "type": "array"
- }
- },
- "type": "object"
- },
- "type": "object"
- },
- "type": "object"
- },
- "connections": {
- "items": {
- "properties": {
- "created_at": {
- "type": [
- "string",
- "null"
- ]
- },
- "display_name": {
- "type": [
- "string",
- "null"
- ]
- },
- "last_synced_at": {
- "type": [
- "string",
- "null"
- ]
- },
- "provider": {
- "type": "string"
- },
- "status": {
- "type": [
- "string",
- "null"
- ]
- },
- "updated_at": {
- "type": [
- "string",
- "null"
- ]
- }
- },
- "type": "object"
- },
- "type": "array"
- },
- "degraded": {
- "type": "boolean"
- },
- "degraded_reasons": {
- "items": {
- "type": "string"
- },
- "type": "array"
- },
- "metadata_by_connection": {
- "additionalProperties": {
- "items": {
- "properties": {
- "app_name": {
- "type": [
- "string",
- "null"
- ]
- },
- "channel_pid": {
- "type": [
- "string",
- "null"
- ]
- },
- "event_mappings": {
- "items": {
- "properties": {
- "event_name": {
- "type": "string"
- }
- },
- "type": "object"
- },
- "type": "array"
- },
- "mapped_events": {
- "items": {
- "properties": {
- "event_name": {
- "type": "string"
- },
- "send_revenue": {
- "type": "string"
- }
- },
- "type": "object"
- },
- "type": "array"
- },
- "provider": {
- "type": "string"
- },
- "provider_app_id": {
- "type": "string"
- }
- },
- "type": "object"
- },
- "type": "array"
- },
- "type": "object"
- }
- },
- "required": [
- "connections",
- "metadata_by_connection",
- "cohort_configs_by_connection"
- ]
- }
-]New value: +[
+ {
+ "properties": {
+ "apps_count": {
+ "type": "integer"
+ },
+ "available_channel_pids": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "available_events_sample": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "connected": {
+ "type": "boolean"
+ },
+ "degraded": {
+ "description": "Secondary stored configuration reads were unavailable.",
+ "type": "boolean"
+ },
+ "degraded_reasons": {
+ "description": "Allowlisted public missing-data reasons only.",
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "providers": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "safe_mode_reduced": {
+ "const": true
+ }
+ },
+ "required": [
+ "connected",
+ "providers",
+ "apps_count",
+ "available_channel_pids",
+ "available_events_sample",
+ "safe_mode_reduced"
+ ]
+ },
+ {
+ "properties": {
+ "cohort_configs_by_connection": {
+ "additionalProperties": {
+ "additionalProperties": {
+ "properties": {
+ "aggregation_type": {
+ "type": "string"
+ },
+ "cohort_type": {
+ "type": "string"
+ },
+ "groupings": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "kpis": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "last_used_from": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "last_used_to": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "min_cohort_size": {
+ "type": "integer"
+ },
+ "partial_data": {
+ "type": "boolean"
+ },
+ "period_filters": {
+ "items": {
+ "type": "integer"
+ },
+ "type": "array"
+ },
+ "preferred_currency": {
+ "type": "boolean"
+ },
+ "preferred_timezone": {
+ "type": "boolean"
+ },
+ "provider": {
+ "type": "string"
+ },
+ "provider_app_id": {
+ "type": "string"
+ },
+ "selected_channel_pids": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ }
+ },
+ "type": "object"
+ },
+ "type": "object"
+ },
+ "type": "object"
+ },
+ "connections": {
+ "items": {
+ "properties": {
+ "created_at": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "display_name": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "last_synced_at": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "provider": {
+ "type": "string"
+ },
+ "status": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "updated_at": {
+ "type": [
+ "string",
+ "null"
+ ]
+ }
+ },
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "degraded": {
+ "type": "boolean"
+ },
+ "degraded_reasons": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "metadata_by_connection": {
+ "additionalProperties": {
+ "items": {
+ "properties": {
+ "app_name": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "channel_pid": {
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "event_mappings": {
+ "items": {
+ "properties": {
+ "event_name": {
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "mapped_events": {
+ "items": {
+ "properties": {
+ "event_name": {
+ "type": "string"
+ },
+ "send_revenue": {
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "provider": {
+ "type": "string"
+ },
+ "provider_app_id": {
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "type": "object"
+ }
+ },
+ "required": [
+ "connections",
+ "metadata_by_connection",
+ "cohort_configs_by_connection"
+ ]
+ }
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description adds nothing beyond that: no note on whether the connection context auto-resolves, whether the state is cached/refreshed, or what scoping applies. It restates the read rather than enriching it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact phrase with zero filler and the verb leading. It is efficient, though the terseness borders on under-specification rather than true conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
An output schema exists, so return values need not be explained, and annotations cover safety. What is missing is routing guidance relative to the crowded mmp_insights_*/products_* sibling set and any meaning for the undocumented connection_context parameter.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
One optional parameter (connection_context) with a strict regex pattern, and schema description coverage is 0%. The description never mentions it or explains when it must be supplied versus omitted, leaving the agent to infer its purpose entirely from the pattern.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Read') and names three concrete resource domains (mapping, cohort, funnel state), so an agent knows the kind of data returned. It does not, however, distinguish itself from overlapping siblings like mmp_insights_query_product_cohort or products_get_funnel_values, and 'state' remains slightly abstract.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to use this tool versus the many mmp_insights_* and products_* siblings that also surface cohort/funnel data. No prerequisites, no exclusions, no alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.