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Arenukvern

Flutter Inspector MCP Server

debug_dump_semantics_tree_inverse

Analyze Flutter app semantics by dumping the semantics tree in inverse hit test order using the Flutter Inspector MCP Server, aiding in identifying UI and accessibility issues.

Instructions

RPC: Dump the semantics tree in inverse hit test order (ext.flutter.debugDumpSemanticsTreeInInverseHitTestOrder)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNoPort number where the Flutter app is running (defaults to 8181)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'dump' but doesn't disclose behavioral traits such as whether this is a read-only operation, if it affects app performance, what the output looks like, or any side effects. For a debugging tool with no annotations, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that states the tool's action. It's front-loaded with the core functionality and avoids unnecessary words. However, it could be slightly more structured by separating the RPC call from the human-readable explanation.

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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'dump' entails (e.g., returns a string, logs to console), the impact on the Flutter app, or error handling. For a debugging tool with potential side effects, more context is needed to understand its full behavior and output.

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 the single parameter 'port' with its type and default. The description adds no additional meaning about parameters beyond what the schema provides. Baseline is 3 when schema coverage is high, as the description doesn't compensate but also doesn't detract.

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?

The description states the tool dumps the semantics tree in inverse hit test order, which is a specific action. However, it's vague about what 'dump' means (e.g., output format, destination) and doesn't clearly differentiate from sibling tools like 'debug_dump_semantics_tree' (which likely dumps in regular order). It's not tautological but lacks full clarity.

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 is provided on when to use this tool versus alternatives. It doesn't mention sibling tools like 'debug_dump_semantics_tree' or explain why inverse order might be preferred. The description is purely functional with no context for usage decisions.

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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