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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description's 'Read-only' largely restates that. It adds useful integration context about passing results to start_sponsorship, but it does not describe the return shape or any positional constraints beyond the schema. This is adequate but not rich.

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 compact sentences with the core behavior front-loaded and the workflow note following. Every clause contributes meaning: the read-only guarantee, the optional proximity search, and the routing to start_sponsorship.

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?

For a simple read-only query with a fully described input schema and safe annotations, the description is nearly complete. The only gap is that no output schema exists and the description does not specify the exact format of the returned spots, such as x/y coordinate pairs.

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 description coverage is 100% and each parameter already has a descriptive explanation, including the near_x/near_y mutual dependency. The prose adds 'N sponsored trees' and the lower unit price for larger orders, but most parameter semantics are already carried by the schema, so the baseline of 3 applies.

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 ('suggests') and resource ('free positions for N sponsored trees'), and it clearly distinguishes the tool from start_sponsorship by explaining how its output feeds into that sibling. This makes the tool's role unambiguous.

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?

It gives clear workflow context: find spots first, then pass them to start_sponsorship, or omit them and let the server choose. It does not exhaustively compare against other siblings, but the alternative path is explicit enough for an agent to decide when this tool is needed.

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