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

Beyond annotations, it discloses the one-time signing secret, the exact Reach-Signature header format, the supported event list, the account_ids omission behavior, and the https-only requirement. These are non-obvious side effects and security-critical details that substantially exceed the annotations.

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 front-loaded with the core purpose and follows with dense, high-value specifics in short sentences. There is no filler or repetition of schema fields.

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?

An output schema exists, so return values are already specified; the description covers the remaining context an agent needs to call it correctly: event selection, subscription scope, signature verification, and one-time secret handling. The definition is effectively self-contained.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further by enumerating the exact event types, clarifying that omitting account_ids subscribes to every account, and stating https-only. It does not need to revisit already well-documented schema fields.

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 uses the specific action 'Register a URL to be called when something happens on LinkedIn', clearly identifying webhook endpoint creation. This distinguishes it from sibling tools like list/update/delete/test_webhook_endpoint without ambiguity.

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?

It gives a clear motivating use case: enabling an agent or n8n/Make workflow to react to events instead of polling. However, it does not explicitly state when not to use it or name alternatives such as list_webhook_endpoints or update_webhook_endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.