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Gumlet MCP

analytics_aggregated_data

Read-onlyIdempotent

This endpoint retrieves aggregated data of the given metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNoGet aggregations for metrics with multiple filters, `value` should be an exact match
aggregateNoAggregate multiple metrics at the same time
timeframeNoThe timeframe to get the data for. Currently we only support maximum difference between `start_at` and `end_at` to be *60 days*
workspace_idNoThe unique identifier of the Gumlet workspace ID available on the Video Workspaces.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds nothing beyond that: it does not mention the 60-day timeframe cap, whether an empty filter set returns global data, or any response/pagination behavior.

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

Conciseness3/5

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

A single short, front-loaded sentence with no bloat. But it is so thin that it barely earns its place, verging on a restatement of the tool name rather than providing distinct value.

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

Completeness2/5

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

For a tool with four nested parameters, an aggregate/filter structure, enum-heavy field lists, and a 60-day constraint, the description is far too sparse. Although an output schema exists (so return values need not be explained), the description omits scoping behavior (e.g. what happens with no filters) and any routing guidance versus the breakdown/chart siblings.

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 description coverage is 100%, so the schema already documents filters, aggregate, timeframe, and workspace_id in detail (including the 60-day limit and exact-match semantics). The description only vaguely references 'the given metrics' and adds no meaning beyond the schema, which is the baseline-3 case.

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

Purpose3/5

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

States a verb ('retrieves') and resource ('aggregated data of the given metrics'), and the word 'aggregated' loosely separates it from analytics_breakdown_data and analytics_chart_data. However, it offers no explicit differentiation from those close siblings, so an agent must infer the boundary from the name alone.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of the sibling tools (analytics_breakdown_data, analytics_chart_data, analytics_aggregated_data) that an agent would need to choose among. It simply restates the endpoint's function.

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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