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

The description richly discloses side effects beyond the sparse annotations: it turns on auto-publish, sends every published article as JSON, returns a shared secret exactly once for auth_method=generated, and establishes a one-webhook-per-organization constraint. It also notes compatibility with CMS integrations and that certain builder connections count as webhooks. This gives an agent a strong model of what will happen.

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 dense but every sentence earns its place: prerequisites, delivery behavior, authentication handling, constraints, next step, and cost. It is front-loaded with the core action and effect. It could be slightly improved with bullet-style separation, but it remains focused and free of filler.

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?

For a tool with 7 parameters, side effects, authentication nuances, and cross-tool dependencies, the description covers the critical operational context: setup requirements, secret handling, one-per-organization limitation, coexistence with CMS integrations, and follow-up verification via test_custom_webhook. An output schema exists, so explaining return values is unnecessary. Nothing essential is missing for an agent to call this correctly.

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 already documents all 7 parameters with descriptions and enums, so the baseline is 3. The description adds meaningful behavioral context for key parameters: auth_method=generated means the secret is returned exactly once and must be stored in environment variables, platform has the special meaning that several builder connections are webhooks, and website_id should be passed for multi-website accounts. This exceeds schema-only understanding.

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 opens with a specific verb and resource ('Connects a custom webhook') and immediately clarifies the behavioral consequence: BlogSEO POSTs every published article as JSON to the endpoint. It also distinguishes this tool from related siblings by referencing get_webhook_contract and test_custom_webhook, making its role unmistakable.

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 gives clear operational guidance: the endpoint must already be deployed and reachable over HTTPS, one webhook is allowed per organization, and test_custom_webhook should be called afterwards. It also explains when website_id is needed. It does not explicitly state when to prefer alternatives over this tool, but it provides enough context to infer appropriate use.

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