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testit-mcp-server

testit-mcp-server

by iampopovich

list_test_suite_test_results

Read-only

Retrieve the latest test results for every test point in a test suite, including autotest and configuration details, to review suite status.

Instructions

Test results of all test points in a test suite (latest attempts, with autotest and configuration).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "list_test_suite_test_results"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesTest suite UUID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description does add real behavioral value by disclosing that only latest attempts are returned (not full history) and that autotest and configuration data are included in each result. It says nothing about result volume, pagination, or whether configuration/autotest fields can be absent for manually-added points.

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?

A single compact clause with zero filler, and the most decision-relevant qualifier (latest attempts) is placed early. The tradeoff is that the fragment form leaves the action implicit, but nothing is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only listing tool this covers the essentials: what entity it scopes to and what the records contain. It is thin on return shape and result volume, which matters since no output schema exists, leaving the agent to guess at structure and whether all test points are returned at once.

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?

The schema has a single parameter with 100% description coverage ('Test suite UUID'), so the schema fully documents it. The description only implies that the id scopes the results to one suite and adds no format, sourcing, or scoping detail beyond the schema; baseline 3 applies.

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 identifies the resource and scope ('test results of all test points in a test suite') and qualifies it with 'latest attempts, with autotest and configuration', which somewhat distinguishes it from history-oriented siblings. However it is a bare noun phrase with no verb and no explicit contrast to alternatives such as get_test_run_results or get_test_results_statistics, so an agent must infer that this is a read/list operation returning current per-test-point results.

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 when-to-use guidance, no prerequisites, and no named alternative. The parenthetical 'latest attempts' hints that it is not the tool for historical results, but that is inference rather than stated guidance, and nothing tells the agent when to pick this over sibling result tools.

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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