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Power Automate MCP Server by Flow Studio

get_store_maker

Read-only

[Requires Pro+ plan] Get details for a single maker from the Power Clarity cache by their key (usually the AAD object ID). Includes flow/app counts and whether the account has been deleted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makerKeyYesMaker RowKey (AAD object ID of the user).

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful behavioral context by noting it requires a Pro+ plan and reads from a cache, which signals that data could be cached rather than live. It also previews the included data (flow/app counts, deleted status), going beyond the annotations.

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, dense sentence that conveys the plan requirement, action, source, key type, and certain return fields. There is no fluff, no repetition of the tool name, and every clause has informational or serving value. It is appropriately sized and easy to parse.

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?

For a single-parameter getter with no output schema and very simple input, the description covers the essential context: input form, cache nature, and in summary of return data. It does not describe what happens when the maker key is not found or whether the cache is refreshed, but those are minor for a simple lookup tool.

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

Parameters4/5

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

Schema description coverage is 100% with makerKey documented as 'Maker RowKey (AAD object ID of the user).' The description adds a small but valuable reinforcement—italics 'by the maker (usually the AAD object ID)'—which helps the agent understand what to pass. Since the schema already covers the parameter, the description adds a little extra rather than a lot, so 4 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 states a specific verb ('Get'), resource ('details for a single maker'), and scope ('from the Power Clarity cache by their key'). It also names the distinguishing return contents (flow/app counts, deletion status), and the singular/scoped phrasing clearly separates it from other getters like get_store_flow or list_store_makers.

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 usage context is clear: call this tool when you already have the maker's key and want details for that single maker, rather than using list_store_makers. It does not explicitly name alternatives or exclusions, but the 'single maker by key' phrasing strongly implies the appropriate scenario.

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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TDQS

A3.9/5.0
Disambiguation4/5

The consistent live/store prefixes and clear resource nouns make most tools distinguishable, and deprecated tools explicitly flag replacements. However, the duplicated live-vs-cache surfaces and multiple run/error-history tools can still require careful reading to choose correctly.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern with stable qualifiers like live, store, flow, and run. Even meta-tools like list_skills and tool_search fit the same convention, and the few longer names such as add_live_flow_to_solution remain predictable.

Tool Count2/5

34 tools is well above the 25+ threshold for 'too many,' and the set is inflated by live/store duplication plus four deprecated tools scheduled for removal. Several tools could be consolidated or dropped without losing capability.

Completeness3/5

The server covers the main flow lifecycle well: list/get/create/update, state changes, running, resubmission, run diagnostics, environments, connections, and solution migration. Notable gaps include no delete flow, no remove-from-solution operation, and read-only connection management, which agents can partially work around.