insights_get_date_range
Read stored Insights date coverage
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Read stored Insights date coverage
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Changes observed during successful MCP inspections.
Input schema / properties / connection_contextRemoved value: -{
- "pattern": "^mctx_v1_[0-9a-f]{64}$",
- "type": "string"
-}Output schema / then / properties / categoryAdded value: +{
+ "type": "string"
+}Output schema / then / properties / expectedAdded value: +{
+ "type": "boolean"
+}Output schema / then / properties / failure_kindAdded value: +{
+ "type": "string"
+}Output schema / then / properties / responsibility_hintAdded value: +{
+ "type": "string"
+}Output schema / then / properties / routeAdded value: +{
+ "type": "string"
+}Output schema / then / properties / user_visibleAdded value: +{
+ "type": "boolean"
+}Input schema / properties / connection_contextAdded value: +{
+ "pattern": "^mctx_v1_[0-9a-f]{64}$",
+ "type": "string"
+}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. The word "stored" adds a little context (it reads persisted/cached state, not live data), but freshness, scope, and caching behavior are unstated.
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 front-loaded sentence with no filler. It is efficient, though its brevity borders on under-specification rather than crispness.
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-value details need not be described. Still, the description leaves key questions open—what 'coverage' means, whether it is per-account/per-dataset, and how stale the stored range can be—which matters for an agent deciding whether to trust it before a pull.
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?
The tool takes zero parameters, so there is nothing for the description to clarify beyond what the empty schema already conveys. Baseline 4 applies.
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 verb and object pair ("Read stored Insights date coverage"), so an agent can infer it returns the cached date range for which insights exist. But it never says whose coverage (account? product? dataset?) or what form the coverage takes, leaving the purpose only vaguely distinguished from siblings like insights_query_overview or insights_pull_insights.
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?
No guidance on when to call this versus the many other insights_* siblings, and no mention of prerequisites or follow-up actions. The agent must guess that this is a pre-flight check before pulling insights.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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