apply_agent_pack

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 mentions 'fingerprint verification' and 'scaffolded materialization', which hint at security and setup processes, but doesn't detail what 'apply' entails operationally—such as whether it modifies project files, requires specific permissions, or has side effects. This leaves significant gaps in understanding the tool's behavior.

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 ('apply a saved agent pack') and adds key qualifiers ('with fingerprint verification and scaffolded materialization') without unnecessary elaboration. Every word contributes to understanding, making it optimally concise.

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 tool has 0 parameters, 100% schema coverage, and an output schema exists, the description's job is simplified. It adequately explains what the tool does but lacks details on behavioral aspects like effects on the project or error handling. With no annotations, it should provide more context about the 'apply' operation's impact, but the presence of an output schema mitigates some need for return value explanation.

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 has 0 parameters with 100% coverage, meaning no parameters are documented. The description doesn't need to compensate for missing param info, as there are none to explain. It appropriately focuses on the tool's purpose without redundant parameter details, earning a high baseline score.

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 ('apply') and resource ('saved agent pack'), and specifies the target ('to the current project') with additional context about verification and materialization. However, it doesn't explicitly differentiate from sibling tools like 'list_agent_packs' or 'save_agent_pack' in terms of when to use each, which prevents a perfect score.

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 alternatives like 'list_agent_packs' or 'save_agent_pack', nor does it mention prerequisites or exclusions. It implies usage through context but lacks explicit instructions, leaving the agent to infer based on the action alone.

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