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pylon_get_webhooks

Retrieve all configured webhooks that send automated notifications to external systems when events occur in Pylon's customer support platform.

Instructions

Get all configured webhooks in Pylon. Webhooks automatically send notifications to external systems when events occur (e.g., new issues created, status changes, messages added).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves all configured webhooks but doesn't mention important behavioral aspects like whether this requires authentication, if there are rate limits, what format the data returns in, or if it's paginated. The description adds some context about webhook functionality but lacks operational details needed for an agent to use it effectively.

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 efficiently structured in two sentences: the first states the core functionality, and the second provides helpful context about webhooks. Every sentence adds value without redundancy. It's appropriately sized for a simple retrieval tool with no parameters.

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

Completeness3/5

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

For a parameterless retrieval tool with no output schema, the description provides adequate basic information about what the tool does and what webhooks are. However, without annotations and with no output schema, it lacks important operational details like authentication requirements, response format, or error handling. The context about webhook functionality helps, but more behavioral transparency would be needed for complete understanding.

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

Parameters4/5

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

The input schema has 0 parameters with 100% description coverage, so there are no parameters to document. The description appropriately doesn't discuss parameters, which is correct for a parameterless tool. It focuses instead on explaining what the tool retrieves and providing context about webhooks.

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 ('Get all configured webhooks') and resource ('in Pylon'), making the purpose immediately understandable. It distinguishes from sibling tools like pylon_create_webhook and pylon_delete_webhook by specifying retrieval rather than creation/deletion. However, it doesn't explicitly differentiate from other 'get' tools like pylon_get_accounts or pylon_get_issues beyond the resource type.

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 implies usage context by explaining what webhooks do ('automatically send notifications to external systems when events occur'), which suggests this tool is for monitoring webhook configurations. However, it doesn't provide explicit guidance on when to use this tool versus alternatives like pylon_get_issue or pylon_get_account, nor does it mention any prerequisites or exclusions.

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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