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scalix_run_deploy

Deploy a long-running container service on Scalix Run from a container image. Creates a new service, or a new revision of an existing service with the same name, with health checks, a public HTTPS URL, and autoscaling between min_instances and max_instances (min 0 = scale-to-zero when idle). Billed per vCPU-hour while instances run. Roll back a bad revision with scalix_run_rollback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
envNoEnvironment variables as key-value pairs
nameYesService name
portNoPort the container listens on
imageYesContainer image from the Scalix registry ({registry}/{project_id}/{repo}:{tag}). External registries (Docker Hub, etc.) are NOT supported — build & push first with scalix_build_create.
max_instancesNoMaximum instances
min_instancesNoMinimum instances (0 = scale to zero)

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / image / description
      Previous value: -"Container image (e.g. nginx:alpine)"New value: +"Container image from the Scalix registry ({registry}/{project_id}/{repo}:{tag}). External registries (Docker Hub, etc.) are NOT supported — build & push first with scalix_build_create."
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With annotations providing only mutability flags (readOnlyHint=false, etc.), the description carries the burden of behavioral disclosure. It adds critical context: creates or updates a service, includes health checks and public HTTPS URL, autoscales between min and max instances, scale-to-zero when min=0, and per-vCPU-hour billing. No contradiction with annotations; openWorldHint is consistent with creating external resources.

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?

The description is four sentences, each earning its place: the first defines the operation, the second details feature set and revision behavior, the third covers pricing, and the fourth points to rollback. No fluff, no redundancy, and the most important action is front-loaded.

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 complex deployment tool with 6 parameters and no output schema, the description covers the core behavior (create/update), key features (health checks, public URL, autoscaling), cost implications, and a rollback safety net. It does not explain return values, but with no output schema that is not required. The only minor gap is not mentioning the build prerequisite, but that is covered in the image parameter's schema description.

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. The description adds value by clarifying the relationship between min_instances and max_instances ('autoscaling between...') and the billing implication ('Billed per vCPU-hour while instances run'), which gives cost context to instance counts. The image parameter's external-registry restriction is already in the schema, so the description does not need to repeat it.

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 opens with a specific verb+resource pairing: 'Deploy a long-running container service on Scalix Run from a container image.' It clearly distinguishes this tool from serverless function deployment (scalix_fn_deploy) by emphasizing long-running containers, and from rollback by naming scalix_run_rollback. The behavior of creating a new service or a new revision is explicit.

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 states the primary use case ('deploy a long-running container service') and explicitly points to scalix_run_rollback for undoing a bad revision. It does not explicitly contrast with scalix_run_scale or scalix_build_create, though the schema hints at the build prerequisite. Clear context but lacks explicit when-not-to-use alternatives.

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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TDQS

A3.6/5.0
Disambiguation4/5

Tools are grouped by service prefix and generally target distinct resources/actions. A few execution surfaces could be confused (sandbox_run vs computer_exec vs fn_invoke; build_create vs fn_deploy vs run_deploy), and storage_list is overloaded for both buckets and objects, but descriptions clarify the boundaries well.

Naming Consistency4/5

The scalix_ prefix plus snake_case is used throughout, and most tools follow <service>_<verb>_<noun>. Minor deviations like scalix_search, scalix_status, and scalix_usage omit a service-domain qualifier, but the overall pattern is predictable and easy to navigate.

Tool Count2/5

53 tools is a very large surface. While the server covers a broad multi-service cloud platform, the count falls well beyond the 25+ threshold and will likely feel overwhelming; many service areas could reasonably be split into separate servers or trimmed.

Completeness2/5

Several service lifecycles have obvious gaps: the KV store has get/list/set but no delete, storage has upload/download/list but no delete for objects or buckets, functions have deploy/list/invoke but no delete/update, and cron has create but no list/delete. These missing operations create dead ends for agents managing common resources.