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mnmozi

Dynatrace SaaS MCP Server

by mnmozi

create_grail_bucket

Create a custom Grail retention bucket to store observability data with configurable retention days and data type (logs, events, spans, etc.).

Instructions

Create a new custom Grail retention bucket (WRITE, Dynatrace Storage Management v1). Requires DT_ENABLE_WRITES=true and the platform scope storage:bucket-definitions:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bucketYesBucket definition per Storage Management v1 spec. Required fields: bucketName (3-100 chars, lowercase letters/digits/underscores/hyphens, must start with a letter, must not start with 'default_' or 'dt_'), table (one of: logs, events, bizevents, spans, security.events, user.sessions, user.events), retentionDays (1-3657). Optional: displayName (up to 200 chars), bucketClass ('live' or 'historic', defaults to 'live'), includedQueryLimitDays (>=0), metricInterval (metric buckets only: PT1M, PT5M, PT15M, PT1H).
Behavior2/5

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

No annotations are provided, so the description carries full burden. It indicates it's a WRITE operation but does not disclose idempotency, overwrite behavior, error scenarios, or return values. This is insufficient for a mutation tool.

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 two sentences, front-loaded with purpose and API context, followed by requirements. Every sentence adds value with no wasted words.

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

Completeness2/5

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

Given no output schema and no annotations, the description should explain return values and behavioral details. It lacks these, making it incomplete for a write operation. The sibling list indicates this is part of a CRUD family, but the description doesn't leverage that context.

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?

The schema description covers 100% of parameters with detailed constraints. The tool description adds no extra meaning beyond what the schema provides, 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 'Create a new custom Grail retention bucket' with a specific verb and resource. It distinguishes from sibling tools like update, delete, list, and get by explicitly using 'Create'. The mention of 'WRITE' and API version adds context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions required conditions (DT_ENABLE_WRITES=true, platform scope) but does not explicitly state when to use this tool versus alternatives like update_grail_bucket. No guidance on handling existing buckets or when not to use it.

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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