generate_hooks

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 generates content but doesn't cover aspects like whether it requires authentication, rate limits, output format, or potential side effects (e.g., if it posts to Twitter or just creates drafts). This leaves significant gaps for a tool that likely involves AI generation.

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 that front-loads the core action ('Generate viral hooks') and specifies the context ('for X (Twitter) threads based on a topic'). There is no wasted verbiage, making it highly concise and well-structured for quick understanding.

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 complexity of content generation, lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'viral hooks' entail, the output format (e.g., text list, structured data), or any behavioral traits like error handling. This leaves the agent with insufficient context to use the tool effectively beyond basic invocation.

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 description coverage is 100%, with the single parameter 'topic' well-documented in the schema. The description adds no additional parameter semantics beyond implying the topic is used for hook generation, which doesn't enhance the schema's information. Baseline 3 is appropriate as the schema handles the parameter documentation adequately.

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 action ('generate viral hooks') and target resource ('for X (Twitter) threads'), with a specific purpose ('based on a topic'). It doesn't differentiate from sibling tools like 'audit_copy' or 'format_thread', which prevents a perfect score, but the verb+resource combination is unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives like 'format_thread' or other content generation methods. The description implies usage for creating hooks on Twitter threads but lacks explicit context, prerequisites, or exclusions, leaving the agent to infer appropriate scenarios.

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