set_chat_hooks
Set up AI chat hooks to trigger custom responses and actions in your Docsbook workspace. Requires PRO+ plan.
Instructions
Configure AI chat hooks. PRO+ plan.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Set up AI chat hooks to trigger custom responses and actions in your Docsbook workspace. Requires PRO+ plan.
Configure AI chat hooks. PRO+ plan.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure, but it only mentions the PRO+ plan requirement. It does not state whether the operation is a mutation, its side effects, idempotency, or what 'configuring hooks' actually entails, leaving the agent without critical behavioral information.
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 extremely concise, with two short sentences. The plan note provides useful context and earns its place. However, the brevity borders on under-specification, though it does not ramble or waste words.
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 no output schema and no annotations, the description is insufficiently complete. It fails to explain what hooks are, how to configure them, what the request looks like, or what the response will be. The complexity is low, but the information provided is too sparse for the agent to use the tool correctly without prior knowledge.
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 schema defines zero parameters, so the baseline is 4 per the rubric. The description adds no parameter meaning, but the schema already has no parameters to describe. The additionalProperties flag is not addressed, but given the zero-parameter count, the baseline holds.
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 verb 'Configure' with the resource 'AI chat hooks', clearly indicating the tool's function. It distinguishes from siblings like set_chat_system_prompt and test_chat_hook, though 'hooks' is somewhat ambiguous and could be more explicit.
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 similar alternatives such as update_ai_settings or test_chat_hook. No scenarios, prerequisites, or exclusions are mentioned beyond the plan requirement.
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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