Skip to main content
Glama

Rerun Test Results Manually

rerun_test_results_manually

Schedule manual reruns for specific failed test results from a launch, with options to assign users and force manual mode.

Instructions

Schedule manual reruns for selected launch results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assigneesNoOptional usernames to assign during manual rerun scheduling.
launch_idYesLaunch ID containing the failed results (required).
project_idNoOptional override for the default Project ID.
result_idsYesOne or more launch result IDs to schedule for manual rerun.
force_manualNoForce manual rerun mode when the upstream API supports it.
output_formatNoOutput format: 'json' (default) or 'plain'.
Behavior2/5

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

Annotations are present but minimal. Description does not elaborate on behavioral traits beyond scheduling, e.g., whether it triggers asynchronous processing, affects test status, or has rate limits.

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?

Single sentence, front-loaded with action, no wasted words. Efficiently communicates the core function.

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?

Minimally complete: covers essence but lacks context on post-scheduling behavior, prerequisites, or output. No output schema, so description could add more about expected results.

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?

All parameters have descriptions in the schema (100% coverage). The tool description adds no extra meaning beyond the schema, so baseline 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?

Description clearly states the verb (Schedule manual reruns), the resource (selected launch results), and the manual aspect, distinguishing it from siblings like start_manual_test_session or submit_manual_test_results.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like start_manual_test_session. Usage is implied but not clearly contrasted with sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ivanostanin/lucius-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server