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matheswarwan

mcp-interaction-studio

by matheswarwan

list_segment_stats

Retrieve membership counts and calculation status for all segments in a dataset, with optional filtering by segment IDs and time range.

Instructions

List membership counts and calculation status for all segments (or a filtered list) in a dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNoDataset name. Optional if IS_DEFAULT_DATASET is configured.
time_rangeNopastDay, pastWeek, pastMonth, pastQuarter, Today, or YYYY-MM-DD..YYYY-MM-DD
include_rawNoReturn raw JSON (default: false)
segment_idsNoOptional segment ids; omit to include all segments
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It only states what the tool does but fails to mention that it is a read-only operation, does not modify state, or any other side effects or constraints. Since it is a listing operation, the behavior is partly implied, but full transparency is lacking.

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, concise sentence that immediately conveys the tool's purpose. It is front-loaded and contains no unnecessary words or redundancy.

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?

No output schema is provided, so the description should hint at the response structure (e.g., list of segments with count and status). It does not mention what the return format looks like or that the result can be filtered by segment_ids. Given the tool's complexity, more context about the output is needed.

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?

The input schema already provides clear descriptions for all 4 parameters (100% coverage), including valid values for time_range. The description adds no additional semantic information beyond what the schema provides, so baseline score of 3 is appropriate.

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

Purpose4/5

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

Description clearly states it lists membership counts and calculation status for segments. It uses a specific verb ('list') and resource ('segment stats'), and distinguishes from sibling tools like list_segments and get_segment_details by including 'stats'. However, it could be more explicit about how it differs from similar list tools.

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?

No guidance on when to use this tool versus alternatives such as list_segments or get_segment_details. It does not specify prerequisites or which parameters are necessary for common use cases.

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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