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test_get

Retrieve a saved test by its name as a complete JSON object containing steps, variables, environments, and dataset.

Instructions

Returns a saved test as a full JSON object (steps, variables, environments, dataset).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the saved test

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does communicate a read-only retrieval and specifies the returned payload, but it does not mention error/not-found behavior, permissions, or any side-effect guarantees.

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 efficient sentence that front-loads the verb and resource and then states the output payload. There is no filler or redundant information.

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 one-parameter read-only tool with no output schema, the description is largely complete: the schema covers the input and the description explains the returned JSON structure. It omits not-found behavior and alternative tool routing, but those are minor for this simple getter.

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% for the single parameter, which already documents 'name' as the name of the saved test. The description adds no additional parameter semantics such as format, uniqueness, or case sensitivity, so the baseline score applies.

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 uses a specific verb ('Returns') and identifies the resource ('a saved test'), with concrete payload details (steps, variables, environments, dataset). It is clear this fetches a single saved test, though it does not explicitly contrast itself with test_list or other siblings.

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 given about when to use this tool versus alternatives like test_list or test_export_playwright. The agent must infer the usage boundary from the name and the phrase 'full JSON object', so the description leaves this implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.