buygit_random

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

The description discloses the output signals (license, risk, popularity, pricing) but does not mention any potential side effects, rate limits, or randomness source. Since there are no annotations, the description carries the full burden; it is adequate but could be more transparent about the randomness behavior and data source.

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 sentences, front-loading the purpose and immediately providing usage scenarios. Every sentence adds value, no fluff.

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's simplicity (2 optional parameters, no required), the presence of an output schema, and the context signals, the description is complete. It explains what the tool does, when to use it, and the optional parameter. No gaps.

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 coverage is 100%, so baseline is 3. The description adds context about the 'category' parameter narrowing the pool, which is already in the schema description. It does not add significant semantic value beyond what the schema provides, so a score of 3 is appropriate.

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 tool's purpose: 'Surface 1-10 random crawler listings' with specific signals like license, risk, popularity, pricing. It distinguishes itself from sibling tools like buygit_search (intent-based) and buygit_trending (popularity-based) by mentioning usage scenarios such as 'surprise me' and 'when the user has not specified intent'.

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 explicit use cases ('surprise me', category browsing, seeding agent suggestions) and implies when not to use (when user has specific intent). However, it does not include explicit alternatives or 'when not to use' statements, but the context is clear enough.

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