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cdp_create_compaction_request

Create a compaction request to optimize data storage and performance in Acquia's Customer Data Platform by submitting JSON-formatted request details.

Instructions

Create a new compaction request. Pass request details as a JSON string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
tenant_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but only states it 'creates' without behavioral details. It doesn't disclose if this is a mutating operation, what permissions are required, whether it's asynchronous, or what the output contains. The mention of 'JSON string' for request details is minimal context but 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 extremely concise with two short sentences that are front-loaded and waste no words. Every part ('Create a new compaction request' and 'Pass request details as a JSON string') directly contributes to understanding the tool's function.

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?

For a mutation tool with no annotations, 0% schema description coverage, and an output schema (which helps but isn't described), the description is incomplete. It lacks details on behavior, parameter usage, and context, making it inadequate for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but only vaguely mentions 'request details as a JSON string' for the 'body' parameter. It doesn't explain what 'tenant_id' is for, the structure of the JSON, or any constraints. With 2 parameters and no schema descriptions, this adds minimal value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create a new compaction request') and resource ('compaction request'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'cdp_list_compaction_requests' or 'cdp_unschedule_compaction_request', but the verb 'create' is distinct enough from 'list' and 'unschedule' operations.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when compaction requests are needed, or what happens after creation. The sibling list includes 'cdp_list_compaction_requests' and 'cdp_unschedule_compaction_request', but no comparison is made.

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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