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mnmozi

Dynatrace SaaS MCP Server

by mnmozi

update_grail_bucket

Update a Grail retention bucket's display name, retention days, or included query limit days using optimistic locking. Provide the current version from the bucket's GET response.

Instructions

Update a Grail retention bucket by name (WRITE, Dynatrace Storage Management v1). Uses an optimistic-locking PUT; include the current 'version' in the bucket body. Requires DT_ENABLE_WRITES=true and the platform scope storage:bucket-definitions:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bucketNameYesThe bucket name to update.
bucketYesFull bucket update body per Storage Management v1 spec (UpdateBucket schema). Mutable fields: displayName, retentionDays, includedQueryLimitDays. Must include 'version' (current optimistic locking version from GET). Read-only fields (bucketName, table, status, bucketClass, metricInterval) are accepted but ignored by the API.
Behavior4/5

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

Since annotations are absent, the description carries the burden. It discloses the WRITE nature, optimistic locking, and required environment variable/scope. Could mention error cases like version mismatch.

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?

Two sentences: first states purpose and method, second gives key constraints. No wasted words, efficiently front-loaded.

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?

Given no annotations or output schema, the description covers the update mechanism, prerequisites, and parameter details. Lacks error handling or return value info, but is sufficient for the agent.

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% but description adds significant value: specifies that 'bucket' must include 'version', lists mutable fields, and clarifies how read-only fields are handled. This goes beyond the schema 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 states it updates a Grail retention bucket by name, using a WRITE operation with optimistic locking. It distinguishes from sibling tools (create, delete, get, list) by specifying the update action and the PUT method.

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?

Provides explicit prerequisites: include current version, require DT_ENABLE_WRITES=true and platform scope. However, it does not mention when not to use this tool or contrast with 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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