create_synthetics_tests_deletes
Delete multiple Synthetic tests by ID to manage and clean up monitoring configurations in Datadog.
Instructions
Delete multiple Synthetic tests by ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Delete multiple Synthetic tests by ID to manage and clean up monitoring configurations in Datadog.
Delete multiple Synthetic tests by ID.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Delete' implies a destructive mutation, the description doesn't address critical aspects like permissions required, irreversibility, confirmation prompts, rate limits, or error handling. For a deletion tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any fluff. It's front-loaded and wastes no words, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's destructive nature, lack of annotations, and no output schema, the description is insufficient. It doesn't cover behavioral traits (e.g., confirmation needs), error responses, or what happens upon success. For a deletion tool with zero structured support, more context is needed to ensure safe and correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameters need documentation. The description mentions 'by ID', which hints at an implied parameter (test IDs), but since the schema explicitly defines no parameters, this doesn't add necessary semantics. A baseline of 4 is appropriate as there are no parameters to explain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and resource ('multiple Synthetic tests by ID'), which is specific and unambiguous. It distinguishes itself from sibling tools like 'delete_synthetics_private_location' or 'delete_synthetics_variable' by focusing on tests. However, it doesn't specify the exact scope or mechanism (e.g., batch vs. individual), keeping it from a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 (e.g., needing test IDs), exclusions, or compare it to similar tools like 'synthetics_delete_test' (which might handle single deletions). Without such context, the agent lacks direction on appropriate usage scenarios.
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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