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update_managed_node_pool

Update a managed cluster's node pool in place with PATCH semantics: pass only the fields to change - at least one of count, autoscaling_enabled, autoscaling_min, autoscaling_max. Enabling autoscaling requires both bounds (existing values are kept when only one is passed). The change applies at the cloud provider; on scale-down the provider drains and removes nodes. externally_managed is a separate switch and must be sent ON ITS OWN (combining it with any other pool field is refused): true hands the pool's node count to something outside Ankra (a cluster autoscaler the customer runs at the provider) - from then on scale, update, delete and replace of the pool are refused until it is cleared, and list_managed_node_pools reports the provider's live count as observed_count; false returns the pool to Ankra and adopts the provider's live node count as the pool's count.

Input Schema

NameRequiredDescriptionDefault
countNoNew desired node count.
pool_nameYesName of the node pool to update (from list_managed_node_pools).
cluster_idNoUUID of the target managed cluster. Optional when a cluster is selected.
cluster_nameNoExact name of the target managed cluster. Optional when a cluster is selected.
autoscaling_maxNoNew autoscaling maximum node count.
autoscaling_minNoNew autoscaling minimum node count.
externally_managedNoSend on its own, without other pool fields. true: the pool's node count is owned outside Ankra (a customer-run cluster autoscaler) and Ankra refuses to scale, update, delete or replace the pool until this is cleared. false: Ankra manages the pool again and adopts the provider's live node count.
autoscaling_enabledNoEnable or disable autoscaling for the pool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Far beyond the annotations, it discloses that the change is applied at the cloud provider, that scale-down drains and removes nodes, that externally_managed=true causes scale/update/delete/replace to be refused until cleared, that list_managed_node_pools then reports observed_count, and that =false adopts the provider's live count. The annotations only give generic readOnly/idempotent/destructive hints, so the description carries the real behavioral burden and does so thoroughly.

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?

Front-loaded with the core PATCH contract before the lengthy externally_managed explanation, so the critical information lands first. The externally_managed sentence is a dense, comma-heavy block, but nearly every clause conveys a constraint the agent needs, so the length is largely earned.

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

Completeness4/5

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

For an 8-parameter mutation tool with full schema coverage and no output schema, the description covers mutation semantics, mutual exclusion, refusal conditions, and downstream effects on list_managed_node_pools. It does not state the return shape of the update call itself nor any permission/authorization prerequisites, which leaves minor gaps.

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 already 100%, so the baseline is 3, but the description adds semantics the schema does not: PATCH-style partial updates, the requirement that at least one field be sent, the rule that existing bounds are kept when only one is passed, and the exclusivity of externally_managed. It adds real meaning beyond the per-parameter descriptions rather than restating them.

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 opening clause names a specific verb and resource ('Update a managed cluster's node pool in place') and immediately qualifies it with PATCH semantics, which distinguishes it from add_managed_node_pool, delete_managed_node_pool, and list_managed_node_pools. An agent can identify the operation and its mutation model without opening the schema.

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?

It gives explicit when-conditions: pass only changed fields, at least one of count/autoscaling_enabled/autoscaling_min/autoscaling_max, both bounds required to enable autoscaling, and externally_managed must be sent alone because combining it is refused. It never names a sibling tool as the alternative for creating or removing pools, so it stops short of full when-not/alternatives guidance.

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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