Skip to main content
Glama

Перезапустить упавшую сборку

retry_deploy

Поставить упавшую сборку в очередь заново.

Разрешено ТОЛЬКО для сборок в состоянии `failed`. На идущей сборке
(`queued`, `building`) платформа откажет — это не ошибка, а защита от
второй параллельной сборки.

⚠️ Повтор осмыслен, когда причина отказа была внешней (сеть, реестр,
таймаут). Если сборка упала на коде, повтор даст тот же результат: сначала
`diagnose_deploy`, потом правка, и только потом повтор.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deployNoid сборки. Без него берётся самая свежая.
projectYesПроект: слаг (`my-site`) или id. Слаг — то, что видно в адресе сайта; если пользователь назвал сайт словами, возьми слаг из `my_projects`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
projectYes
deploy_idYes
next_actionYes

Schema Changelog

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

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

The annotations provide only openWorldHint=true, so the description carries the safety burden. It does an excellent job: it discloses that the platform will reject non-failed builds as a protective measure, and explains the semantics of retry (when meaningful vs futile). It also explains the `deploy` parameter default behavior. The warning about retry being pointless for code failures is valuable behavioral context beyond the schema.

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 clear paragraphs: purpose statement, explicit state constraints with a warning, and a usage decision guide. It's somewhat longer than the TDQS high example but every sentence earns its place — the state constraint, protection note, and retry semantics are all essential. No filler or redundancy.

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 state-sensitive mutation tool with only openWorldHint annotation and an output schema present, the description is remarkably complete. It covers: valid input conditions (failed state), platform rejection behavior, the decision framework (external vs code failure), the recommended workflow order (diagnose → fix → retry), and the sibling tool used in that workflow. This is comprehensive for a two-parameter tool.

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 coverage is 100% — both `project` and `deploy` have descriptions. The description adds marginal value: it restates that `deploy` defaults to the latest build when omitted (which the schema's default=null partially conveys). The description doesn't add syntax details beyond the schema, so baseline 3 is appropriate.

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 the verb+resource+condition: 'Поставить упавшую сборку в очередь заново' (requeue a failed build). It specifies the state constraint (only `failed` builds). This distinguishes it from siblings like `cancel_deploy`, `deploy_logs`, and `rollback` which have different purposes.

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 is exceptionally explicit about when to use this tool: ONLY for builds in `failed` state, and it explicitly warns that queued/building builds will be rejected by the platform (a protection, not an error). It also provides decision guidance: retry only makes sense for external causes (network, registry, timeout); for code failures it gives a full workflow: diagnose_deploy → fix → then retry. This explicitly names the alternative `diagnose_deploy`.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct resource and action. The deploy lifecycle is cleanly separated into cancel, retry, rollback, diagnose, logs, list, and status, while the site_* tools each answer a different question. Even the two compose_landing tools are explicitly differentiated for model vs. internal use.

Naming Consistency3/5

Tool names mix verb-first patterns (check_domain, list_deploys, connect_analytics) with noun-first patterns (site_issues, deploy_logs, env_vars), and some are bare verbs (rollback, whoami). The naming is descriptive and readable, but not consistent enough to predict the style for a new tool.

Tool Count2/5

27 tools exceeds the typical well-scoped range and pushes into 'too many' territory. While the server covers a broad platform scope, many tools are highly specialized (check_copy, site_screenshot), and an agent may be overwhelmed by the sheer number of choices. Consolidation could reduce the load.

Completeness4/5

The core lifecycle is solid: compose, publish, monitor, diagnose, and rollback, with supporting tools for domains, analytics, performance, and content inspection. However, there are no delete/remove operations for projects, domains, or integrations, and integration management is limited to adding. These are minor gaps that agents can work around, but they are notable for a full platform.