nitro_get_insights
Get email analytics with trends, benchmarks, and recommendations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| scope | Yes | ||
| period | No | 30d | |
| entity_id | No | Required for flow/campaign/message scope |
Get email analytics with trends, benchmarks, and recommendations.
| Name | Required | Description | Default |
|---|---|---|---|
| scope | Yes | ||
| period | No | 30d | |
| entity_id | No | Required for flow/campaign/message scope |
Changes observed during successful MCP inspections.
Input schema / properties / period / descriptionRemoved value: -"Time period for metrics (default 30d)"Input schema / properties / scope / descriptionRemoved value: -"Scope of insights: account-wide, per flow, per campaign, or per message"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and closed-world scope, so the safety profile is fully covered. The description adds that the response includes trends, benchmarks and recommendations, which is genuinely beyond the annotations, but it says nothing about auth scope requirements or how scope/entity_id affect the result.
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 tight sentence with zero waste, but its brevity is achieved by omitting needed detail rather than by disciplined editing. It is appropriately front-loaded.
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?
With three parameters, a scope enum that changes what entity_id means, and no output schema, the description should explain the scope/entity relationship and the shape of returned insights. It instead gives a generic one-liner, leaving the agent to reverse-engineer invocation from the schema.
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?
Only entity_id carries a schema description; scope and period rely on bare enums, giving 33% coverage. The description mentions no parameters at all, so the critical dependency that entity_id is required for flow/campaign/message scopes and only valid there is left entirely to the schema's single note.
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 and resource ('Get email analytics') and names the payload (trends, benchmarks, recommendations), which tells an agent what class of tool this is. It does not differentiate from siblings such as nitro_review_delivery or nitro_get_status, which also read performance data, so the agent gets no routing signal.
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 alternatives, no prerequisites, and no exclusions. The agent must infer from the name alone that this is the analytics-reporting path rather than delivery review or status checks.
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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