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Debugg AI MCP

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Workflow Executions

executions
Read-only

Retrieve workflow execution history with full details, including node executions and screenshots, or list paginated summaries filtered by project and status.

Instructions

Look up workflow executions (history of check_app_in_browser, trigger_crawl, and test-suite runs). Pass an "action":

  • "get" {uuid} → one execution with FULL detail (nodeExecutions, state, errorInfo) + any screenshot/gif artifacts.

  • "list" {projectUuid?, status?, page?, pageSize?} → paginated execution summaries. status ∈ completed|running|failed|cancelled|pending.

Tip: after a fresh check_app_in_browser run, poll action:"get" with the returned executionId until artifact URLs are available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOperation to perform.
uuidNo[get] Execution UUID.
projectUuidNo[list] Filter by project UUID.
statusNo[list] Filter by status.
pageNo[list] Page (1-indexed).
pageSizeNo[list] Page size (1..200).
Behavior5/5

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

Annotations show readOnlyHint=true and openWorldHint=true; description adds detail that get returns full detail with artifacts and list returns paginated summaries. No contradictions.

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?

Concise, well-structured: main purpose, action breakdown with parameters, and a helpful tip. No wasted words.

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 tool with 6 params, 1 required, and no output schema, description covers enough: both actions, parameter details, and practical usage advice. Return values implied adequately.

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?

Schema coverage is 100%, so baseline is 3. Description adds value by enumerating valid statuses, clarifying page indexing, and linking parameters to actions.

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?

Clearly states the tool looks up workflow executions and distinguishes two actions (get/list). References specific sibling tools (check_app_in_browser, trigger_crawl, test-suite), differentiating from them.

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?

Provides explicit context for each action, including parameter hints and a practical polling tip. Implicitly guides when to use get vs list.

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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