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smallest-inc

Smallest MCP Server

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by smallest-inc

get_dashboard

Retrieve the full analytics dashboard with summary KPIs, call volume timeseries, call outcomes, pickup rates by number, hourly performance, and duration stats.

Instructions

Get the full analytics dashboard in a single call — includes summary KPIs, call volume timeseries, call outcomes, pickup rates by number, hourly performance, and duration stats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoStart date (ISO 8601, e.g. 2025-01-15T00:00:00Z). Defaults to 7 days ago.
end_dateNoEnd date (ISO 8601, e.g. 2025-01-20T23:59:59Z). Defaults to now.
agent_nameNoFilter to a specific agent (partial match)
campaign_idNoFilter to a specific campaign by ID
call_typeNoFilter by call type
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral transparency. It does not disclose whether the operation is read-only, its performance implications (aggregation may be slow), required permissions, or response size. The description only lists contents, not behaviors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the main purpose and efficiently lists included content. Every part earns its place; no redundant or filler language.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (aggregating multiple metrics) and the lack of an output schema, the description adequately indicates what the tool returns. However, it omits default behavior for optional parameters (e.g., date range defaults) and does not mention pagination or response structure; a bit more detail would increase completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the description adds no additional meaning beyond what the schema already provides. It lists the output categories but does not explain parameter usage or defaults. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and resource ('full analytics dashboard') and lists the included metrics, clearly distinguishing it from sibling tools that focus on individual metrics. The purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies through its wording ('in a single call') that this is for a consolidated view, but it does not explicitly state when to use this versus individual tools like get_call_volume or get_duration_stats. Some guidance on trade-offs would improve clarity.

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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