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Power Automate MCP Server by Flow Studio

report_bug

Report a Flow Studio MCP bug or missing capability, append text evidence, or check your reports. Free and available even after quota is reached. Do not include passwords, access tokens, secrets, or full flow definitions unless necessary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chunkNoOptional. Omit to append the next chunk automatically.
actionYes
notifyNo
ticketNo
contentNoText attachment body. Max 64 KB per call.
detailsNo
summaryNo
categoryNoother
severityNomajor
file_nameNo
flow_nameNo
tool_nameNo
final_chunkNo
content_typeNoMedia type of the attachment. text/plain (default), text/csv, text/markdown, application/json, application/har+json, application/xml, image/png, image/jpeg, image/gif, image/webp, application/pdf.
contact_emailNo
content_base64NoBinary attachment body, base64-encoded. Max 256 KB decoded per call. Use for images/PDF; pass text through `content` instead. Do not send both.
environment_nameNo
include_diagnosticsNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already convey read-only/destructive intent, and the description adds meaningful behavioral context beyond them: the tool remains available after quota, it handles evidence appending, and it warns against including secrets. It does not fully describe side effects such as ticket creation or what happens when diagnostics are included, which keeps it from a 5.

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 three short, front-loaded sentences: purpose, key availability fact, then security guidance. Every sentence earns its place, and the most important information comes first.

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 an 18-parameter tool with no output schema and low schema coverage, the description leaves too much implicit. It does not explain what each action returns, which parameters apply to report versus append versus status/list, or how chunked evidence should be assembled. An agent would need to infer a good deal of invocation behavior from names and enums.

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

Parameters2/5

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

Schema description coverage is only 22%, so the description must compensate for the many undocumented parameters. It does not explain the meaning of action values, ticket, category, severity, chunking, or the various contextual fields. The enums and defaults provide some structure, but the tool description adds essentially no parameter-level semantics.

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 names a specific verb and resource ('Report a Flow Studio MCP bug or missing capability') and explicitly covers the three modes: new report, append text evidence, and status/list. No sibling tool is about bug reporting, so it is cleanly distinguished from the surrounding operation-focused tools.

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?

It provides clear usage context: use this tool for bug reports or missing capabilities, append evidence, and check prior reports. The note about being free even after quota is reached gives a useful when-to-use signal. It does not explicitly state when not to use it or name alternatives, but the sibling tools are unrelated and the context is clear.

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.