get_full_pack

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

With no annotations provided, the description assumes the full burden. It clearly states the tool returns a complete bundle of components and lists them. It does not mention return format or size, but for a no-parameter getter that simply returns data, the behavior is sufficiently transparent.

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 compact: two sentences that front-load the action ('Returns the complete engine'), enumerate the contents, and provide a use case. Every word adds value, and the structure is clear and efficient.

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?

The description covers what the tool returns and when to use it, which is important given there is no output schema or annotations. It could have specified the return format (e.g., string, JSON), but the enumerated components give a strong sense of the output, making it largely complete for this simple tool.

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 tool has zero parameters, so the input schema is empty. According to the rules, a baseline of 4 applies for 0 params, and the description does not need to compensate for missing parameter details. No parameter-related gaps exist.

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 'Returns' and enumerates the exact contents ('core rules, all target packs, follow-up ladder, reply playbook, pricing menu, red flags'), clearly distinguishing this tool from siblings that handle individual components. It is evident what the tool does and what it returns.

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 an explicit use case: 'Useful for full agent context (e.g. a Claude Project system prompt).' This tells when to use the tool, especially in contrast to the more focused sibling tools. However, it does not name alternatives or explicitly state when not to use it, so it falls slightly short of a 5.

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