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create_execution

Create a manual test execution container to aggregate test collections, suites, and named case groups for structured test runs.

Instructions

Create a Manual Test Execution, the top-level container on the Executions page, which aggregates Test Collections, suites and named case groups. NOT the same as a Test Collection: use create_test_collection for a single grouping of cases, and this to assemble an execution out of several. Returns the whole execution under an execution key: id, name, description, status, priority, environment, assignedTo, startDate, endDate, projectId and createdAt. The id you need for everything else is execution.id, not a top-level id. It starts empty, so follow with add_suites_to_execution, add_collections_to_execution or add_cases_to_execution to put something in it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesExecution name
statusNoOptional. One of: not_executed, in_testing, passed, failed, blocked (plus any project-custom values). Defaults to 'not_executed'.
endDateNoOptional ISO date (>= startDate)
priorityNoOptional. One of: low, medium, high, critical. Defaults to 'medium'.
projectIdYesProject UUID
startDateNoOptional ISO date
assignedToNoOptional assignee user id (must be a project member)
releaseIdsNoOptional release UUIDs to link
descriptionNoOptional description
environmentNoOptional environment label (e.g. QA, Staging)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.5.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate this is a write operation, and the description adds valuable behavioral detail: the created execution starts empty, and the response embeds the entire execution under an 'execution' key. It also flags the critical quirk that execution.id is the useful identifier, not a top-level id, which agents need to know for subsequent calls.

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?

Every sentence earns its place: it states the purpose, clarifies the boundary vs. create_test_collection, explains the response shape and key id, and closes with actionable next steps. No filler or redundant restating of the schema.

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

Completeness5/5

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

For a creation tool with 10 parameters and no output schema, this description is unusually complete. It covers what the tool creates, what the response contains, how to identify the created resource, and which subsequent tools to invoke. Nothing critical is missing for an agent to call it correctly.

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%, so the parameters are already well documented in the input schema. The description does not explain parameter specifics beyond noting the required projectId and name, but it compensates slightly by explaining what happens after creation. This meets the baseline for full schema coverage.

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 names a specific action and resource ('Create a Manual Test Execution') and defines it as the top-level container on the Executions page. It explicitly distinguishes this tool from create_test_collection and notes the intended composite scope, so an agent can clearly tell it apart from sibling tools.

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

Usage Guidelines5/5

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

The description gives direct usage direction: use this tool for assembling an execution from several collections/suites, use create_test_collection for a single grouping of cases. It also tells the agent what to do next after creation, listing add_suites_to_execution, add_collections_to_execution, and add_cases_to_execution, leaving no ambiguity about when and how to use it.

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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