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TheQtCompanyRnD

squish-mcp

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extract_object_references

Extract object references from test code to identify which objects are used in Squish tests.

Instructions

Extract object references from test content to understand what objects are being used.

Args: test_content: The test code to analyze

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
test_contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
names_objectsYesObjects referenced via names.py (e.g. names.someButton)
direct_objectsYesObjects referenced with inline property dicts
primary_patternYesDominant reference style: 'names', 'global_scripts', 'direct', or 'unknown'
unknown_objectsYesObject references that could not be classified
total_referencesYesTotal count of all object references found
global_script_objectsYesObjects referenced via global script modules
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It only states the function without mentioning side effects, permissions, or return behavior. Read-only nature is implied but not explicit.

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

Conciseness3/5

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

Fairly concise but includes an unnecessary 'Args:' section that adds little. The core purpose is stated in one sentence.

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?

Despite having an output schema (not shown), the description does not explain what 'object references' are or what the output contains. For a one-parameter tool, more detail on expected content would be beneficial.

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?

One parameter with 0% schema coverage. The description adds 'The test code to analyze', providing some semantic meaning beyond the type string. However, it could be more specific about format requirements.

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 description clearly states the tool extracts object references from test content, with a specific verb and resource. It differentiates from sibling 'analyze_object_references' by specifying 'test content' as input.

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 on when to use this tool over alternatives. The description lacks context about prerequisites or when this tool is appropriate.

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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