create_policy
Create access control policies in OpenMetadata to manage data governance and security permissions.
Instructions
Create a new policy in OpenMetadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| policy_data | Yes |
Create access control policies in OpenMetadata to manage data governance and security permissions.
Create a new policy in OpenMetadata
| Name | Required | Description | Default |
|---|---|---|---|
| policy_data | Yes |
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. It states 'Create' which implies a write/mutation operation, but doesn't disclose any behavioral traits such as required permissions, whether the operation is idempotent, what happens on conflicts, or the response format. For a mutation tool with zero annotation coverage, this leaves critical gaps in understanding how the tool behaves.
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 with zero wasted words. It's front-loaded with the core action and resource, making it immediately scannable. Every word earns its place by conveying the essential purpose without redundancy or fluff.
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 complexity (a mutation operation with nested object parameters), lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't address behavioral risks, parameter details, or expected outcomes, leaving the agent with insufficient context to use the tool safely and effectively.
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 1 parameter with 0% description coverage, and the description provides no information about parameters. It doesn't explain what 'policy_data' should contain, its structure, required fields, or examples. With low schema coverage, the description fails to compensate, leaving the parameter semantics entirely undocumented.
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 verb ('Create') and resource ('a new policy in OpenMetadata'), making the purpose immediately understandable. It distinguishes itself from siblings like 'update_policy' and 'delete_policy' by specifying creation rather than modification or deletion. However, it doesn't specify what type of policy (e.g., access control, data governance) or its scope, which prevents 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., existing policy templates, permissions), when not to use it (e.g., for updates), or refer to sibling tools like 'update_policy' or 'get_policy'. The agent must infer usage from the name alone, which is insufficient for effective tool selection.
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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