Update multiple test cases in TestRail at once by setting shared fields such as type, priority, template, or milestone for a list of case IDs.
Bulk update multiple test cases
| Name | Required | Description | Default |
|---|---|---|---|
| type_id | No | Case type ID | |
| case_ids | Yes | Array of case IDs to update | |
| suite_id | No | Suite ID (required for multi-suite projects) | |
| project_id | Yes | Project ID | |
| priority_id | No | Priority ID | |
| template_id | No | Template ID | |
| milestone_id | No | Milestone ID |
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral-disclosure burden. It only says 'update', which is already in the tool name, and adds no information about side effects, partial failures, required permissions, field-overwrite semantics, or response behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise and front-loaded, with no filler words. Every word contributes meaning. However, the brevity borders on under-specification for a tool of this complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a bulk-mutation tool with seven parameters, no annotations, and no output schema, the description is too thin. It lacks guidance on multi-suite requirements, partial-update behavior, return values, and when to use this tool versus singular alternatives. The schema covers parameters but not the operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All seven parameters are documented in the input schema, so schema description coverage is 100%. The description itself adds no parameter-level meaning, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the verb ('update'), the resource ('test cases'), and the scope ('bulk', 'multiple'). This distinguishes it from the singular sibling 'update_case' and from delete/move operations, so an agent can tell which tool to select without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'bulk update multiple test cases' implies the tool is for updating more than one case at a time, but it never explicitly states when to use it over 'update_case' or what the exclusion criteria are. The usage guidance is only implied, not actionable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.