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zafnz
by zafnz

flutter_get_result

Get full error details for specific test IDs from a previous Flutter test run, with output capped at 24KB to prevent oversized responses.

Instructions

Get full error details for specific test IDs from a previous flutter_test run. Output is capped at 24KB.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
test_idsYesArray of test_id values to get full details for
test_run_idYesThe test_run_id from a previous flutter_test call

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.5

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose the 24KB output cap, which is useful, and implies a read-only retrieval operation. However, it doesn't mention behavior for missing or invalid test IDs, truncation semantics beyond the cap, or any side effects.

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 two concise sentences with zero filler. The core purpose is front-loaded, and the important output-size constraint is included without unnecessary detail.

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 low-complexity retrieval tool with fully documented parameters and no nested objects, the description is mostly complete. It explains the source of the data, the scope of retrieval, and the output cap. The lack of an output schema is partially mitigated by the description's mention of 'full error details'.

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 both parameters are already documented in the schema. The description adds no new parameter-specific semantics beyond what the schema states, so the baseline score of 3 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 uses a specific verb ('Get') and identifies the exact resource: full error details for specific test IDs from a previous flutter_test run. This clearly distinguishes it from sibling tools like flutter_test (which runs tests) and flutter_logs (which presumably retrieves logs).

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 description clearly states the usage context: this is for retrieving error details after a flutter_test run, using specific test IDs. It does not explicitly mention alternatives or when not to use it, but the context is strong enough for an agent to understand when it applies.

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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