Skip to main content
Glama

testmo_batch_update_cases

Bulk update up to 100 test cases with common field values like folder, priority, state, tags, and issues in a single PATCH request.

Instructions

Bulk update up to 100 test cases with the same field values (PATCH).

Useful for moving cases to a folder, updating priority/state in bulk, linking automation sources, or adding tags/issues to multiple cases.

Args: project_id: The project ID. ids: Array of case IDs to update (max 100). folder_id: Target folder ID. state_id: State ID (1=Draft, 2=Review, 3=Approved, 4=Active, 5=Deprecated). status_id: Status ID. estimate: Estimated execution duration. custom_priority: Priority ID (52=Critical, 1=High, 2=Medium, 3=Low). automation_links: Automation links (automation_source_id, automation_case_id, name). tags: Tags to apply. issues: Issue links (display_id, integration_id, connection_project_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
idsYes
folder_idNo
state_idNo
status_idNo
estimateNo
custom_priorityNo
automation_linksNo
tagsNo
issuesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It mentions 'PATCH' (implying idempotency) but does not disclose if updates are irreversible, required permissions, side effects, or the response format. The batch limit is given, but critical behavioral traits are missing.

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?

The description is concise and well-structured: a one-line summary, then a line of use cases, then 'Args:' with each parameter on its own line. Every sentence adds information, though the parameter list could be more compact.

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?

Given the tool's complexity (10 parameters, no schema descriptions, no annotations, but has output schema), the description covers most use cases and parameter values. However, it lacks information on output/return, behavior on failure, and additional constraints beyond the 100-case limit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description adds significant value. It maps state_id to values (1=Draft, etc.), custom_priority to IDs (52=Critical, etc.), and explains automation_links, tags, and issues structure. However, estimate and status_id lack further clarification.

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?

The description clearly states 'Bulk update up to 100 test cases with the same field values (PATCH)', identifying the verb (update) and resource (test cases) with a specific scope (batch). It distinguishes from sibling tools like testmo_update_case (single update) and testmo_batch_delete_cases.

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

Usage Guidelines4/5

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

The description lists explicit use cases: 'moving cases to a folder, updating priority/state in bulk, linking automation sources, or adding tags/issues to multiple cases.' It lacks explicit alternatives but context is clear. The 100-case limit is stated.

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/strelec00/testmo-mcp'

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