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

With no annotations provided, the description carries the full burden and does so well. It discloses that this is only a quote request, not execution; that no credits are consumed; that the returned price is binding; that the quote_id is valid for only 15 minutes; that execution requires execute_quote; and that an API key is needed. This is excellent behavioral disclosure.

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 and front-loaded, leading with the purpose and then efficiently covering quote validity, credit implications, the execution path, and authentication. Every clause provides necessary operational information with no wasted words.

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 zero parameters)Skip, no output schema, and no annotations, the description is unusually complete. It explains the quote lifecycle, the binding nature and expiry of the quote, the credit consumption model, the need to call execute_quote, and the required authentication — everything needed to select and call the tool correctly.

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 an empty input schema, so there is nothing for the description to explain. The baseline of 4 applies, and the description adds context about what the quote will produce (price, quote_id) without needing parameter detail.

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 'Request a FREE commercial quote for: Land Change Detection' and adds 'Detect changes in land use between time periods.' This clearly identifies the operation, the resource, and the specific domain, and it is distinguishable from sibling tools like quote_satellite_change_detection by focusing on land use changes.

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 clearly states when to use this tool: when requesting a quote for Land Change Detection. It also gives explicit guidance for the follow-up action: 'Use execute_quote with the quote_id to run it.' It does not enumerate alternatives/exclusions, but the naming pattern and specificity make the intended usage clear.

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