Dedicated Mac Mini AI Bot Setup

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

No annotations are provided, so the description carries full burden. It states 'read-only' which implies no mutation, but it does not disclose any other behavioral traits such as authentication needs, rate limits, or side effects. The description merely lists returned items without deeper behavioral context.

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 sentence that lists many items, making it somewhat run-on and not front-loaded with the primary purpose. It is adequate but could be more structured (e.g., bullet points) to improve readability for the agent.

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?

There is no output schema, so the description should compensate by clearly explaining return values. It lists many items but does not describe their structure, types, or relationships. The agent would lack sufficient information to parse the response correctly. The sibling tool is mentioned but no guidance on when to use which.

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 zero parameters with 100% coverage. Since there are no parameters to document, the description does not need to add parameter semantics. The baseline of 4 is appropriate as the schema already fully describes the input.

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 a specific verb 'Return' and clearly identifies the resource as the bot setup offer for Emad Ibrahim, listing many specific components. It distinguishes from the sibling get_bot_setup_queue which presumably deals with queue status.

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 implies this tool is for retrieving the full offer details, but it does not explicitly state when to use this tool versus the sibling get_bot_setup_queue. There is no guidance on prerequisites or scenarios where alternatives are better.

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

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

Without annotations, the description carries the full burden. It discloses the tool never creates a signup (read-only behavior), but lacks details on permissions, rate limits, or other side effects. Basic disclosure is present but not comprehensive.

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?

Two short sentences that front-load the core action and key output fields. Every sentence contributes value without redundancy.

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 explains the return values (count, target, remaining slots, display labels). No output schema exists, but for a simple no-params tool, this is sufficient. Lacks format/structure details, but acceptable for a straightforward read.

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?

No parameters exist, so schema coverage is 100% trivially. According to rubric, 0 params baseline is 4. The description adds no parameter info, which is acceptable given no parameters.

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 it returns specific data (live founder queue count, target, remaining slots, display labels) and explicitly says 'never creates a signup', distinguishing it from the sibling tool 'get_bot_setup_offer' which likely involves creation.

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 implies usage for reading queue status (via 'never creates'), but does not explicitly state when to use vs the sibling tool, nor does it provide any exclusions or prerequisites.

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