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List evaluation test sets

cs_list_test_sets

List all test sets defined for a Copilot Studio agent to review and manage evaluation harnesses.

Instructions

Power Platform API: test sets defined for the agent (standard harness).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
botIdNoAgent (bot) id. Defaults to workspace sync metadata or CPS_AGENT_ID.
clientIdNoEntra app (client) id for MSAL. Defaults to CPS_CLIENT_ID, then the first-party VS Code id.
tenantIdNoEntra tenant id. Defaults to the workspace sync metadata, then CPS_TENANT_ID.
workspaceNoPath to (or inside) the agent workspace. Defaults to CPS_WORKSPACE or the current directory.
environmentIdNoPower Platform environment id (GUID). Defaults to workspace sync metadata or CPS_ENVIRONMENT_ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.5

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the burden falls on the description. It only says 'Power Platform API: test sets defined for the agent (standard harness).' It does not disclose read-only semantics, pagination, authentication requirements, or any side effects. While 'list' implies a read operation, the description itself is too thin to be transparent.

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

Conciseness4/5

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

The description is very short and front-loaded with the essential purpose. The phrase 'Power Platform API' is redundant with the tool's context but does not create significant noise. It earns a score slightly above average because it is compact and all words add at least some context.

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?

There is no output schema, so the description is the only place for an agent to learn what the tool returns; it says nothing about the result. For a list tool with optional filters, information about response shape, filtering, or default behavior would matter, and this description does not provide it.

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 schema has 100% description coverage for all 5 parameters, so the parameters are already well-documented. The tool description adds no parameter-specific information but also does not need to compensate for gaps. Baseline 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?

The title and description state the verb 'list' plus a specific resource ('test sets defined for the agent'), and the qualifier 'standard harness' adds scope. It is distinguishable from siblings like cs_list_evaluation_runs because it clearly targets test sets rather than runs.

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 guidance on when to use this tool versus alternatives like cs_create_test_set_csv or cs_list_evaluation_runs. The description provides no context for when an agent should select this tool instead of a sibling.

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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