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debugg-ai

Debugg AI MCP

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by debugg-ai

Environment

environment
Destructive

Manage environments and their login credentials for projects. Perform create, read, update, and delete operations, with passwords never returned.

Instructions

Manage environments (and their login credentials) under a project. Pass an "action":

  • "get" {uuid, projectUuid?} → one environment with credentials inline (passwords never returned).

  • "list" {projectUuid?, q?, page?, pageSize?} → paginated environments. projectUuid auto-resolves from the git repo if omitted.

  • "create" {name, url, description?, projectUuid?, credentials?} → create an env, optionally seeding credentials.

  • "update" {uuid, name?, url?, description?, addCredentials?, updateCredentials?, removeCredentialIds?} → patch env + manage credentials.

  • "delete" {uuid, projectUuid?, confirm?} → delete env (DESTRUCTIVE; requires confirmation).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOperation to perform.
uuidNo[get/update/delete] Environment UUID.
projectUuidNoTarget project (defaults to git auto-detect).
qNo[list] Free-text search over env name.
pageNo[list] Page (1-indexed).
pageSizeNo[list] Page size (1..200).
nameNo[create/update] Environment name.
urlNo[create/update] Base URL.
descriptionNo[create/update] Free-text description.
credentialsNo[create] Seed login credentials.
addCredentialsNo[update] Add credentials.
updateCredentialsNo[update] Patch credentials by UUID.
removeCredentialIdsNo[update] Delete credentials by UUID.
confirmNo[delete] Set true to confirm deletion (when the client cannot prompt).
Behavior5/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false. The description reinforces this by labeling delete as 'DESTRUCTIVE' and noting passwords are never returned. It also adds context on auto-resolution of projectUuid, which is not covered by annotations.

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 well-structured with inline bullet points for each action, making it easy to scan. It is concise yet comprehensive, though could be slightly shortened without losing meaning.

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?

Given the complexity (14 parameters, 5 actions, nested credentials), the description is complete. No output schema exists, but return types are implicitly described (e.g., 'one environment with credentials inline,' 'paginated environments').

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

Parameters5/5

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

Schema coverage is 100%, and the description adds per-action context to each parameter (e.g., '[get/update/delete] Environment UUID.' and 'Write-only — never returned.' for password). This clarifies parameter usage beyond the schema's own descriptions.

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 defines the tool's purpose as managing environments and their login credentials under a project, with specific verbs ('get', 'list', 'create', 'update', 'delete') and resources. It distinguishes from sibling tools like 'project' or 'test_suite' by focusing uniquely on environments.

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 provides explicit actions and their contexts (e.g., projectUuid auto-resolves, requires confirmation for delete). While it does not compare directly with sibling tools, it offers clear when-to-use guidance for each action.

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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