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

Beyond the annotations, the description adds meaningful behavioral detail: nothing is hosted, credentials remain with the renter, the call is free, no performance/profitability data can be reported, and trading risks total loss. This contextualizes the read-only, non-destructive, idempotent annotations and sets accurate expectations.

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 three sentences, front-loaded with the core purpose, then adding operational and risk context that is directly relevant to an agent's decision to call it. No sentence is wasted or redundant.

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?

Even without an output schema, the description tells the agent what to expect: rentable bots, prices, durations, and the important caveat that no performance data is reported. For a parameterless list tool, this is fully sufficient for correct selection and 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?

The tool has zero parameters and the schema is fully complete, so there is nothing for the description to clarify about inputs. The description instead usefully conveys what the returned list includes: prices and durations.

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 opens with a clear verb and resource: it lists trading bots available to rent, with prices and durations. It distinguishes this from siblings by describing a specific rental marketplace concept that no other sibling tool covers.

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 gives clear context for when to use the tool: when seeking rentable trading bots with fixed periods, pricing, and buy-in expectations. It explains the self-hosted model and that no credentials are sent, which guides trust expectations, though it does not explicitly name alternatives or say when not to use it.

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