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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is fully covered. The description adds nothing behavioral beyond that — no model assumptions, growth-curve basis, or estimation caveats — and merely enumerates return fields the output schema already defines.

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 sentences, purpose front-loaded followed by scope and a bundle pointer; nothing is padded. The Returns sentence is largely redundant against the existing output schema, which is the only mild waste.

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 tool is a simple pure calculation with full schema coverage, all-readonly annotations, and a declared output schema, so an agent has everything needed to call it. The inline return-field list duplicates the output schema and the estimation model is undocumented, but neither blocks correct 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?

Schema description coverage is 100% (tree_type enum, age_years, count with default), so the schema carries the parameter semantics. The description adds no format, unit, or modelling detail for tree_type/age_years beyond what is already structured, matching the baseline when the schema does the heavy lifting.

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?

States a specific verb and resource ('Estimate CO2 sequestration by trees over their lifetime'), which is clearly distinct from adjacent siblings like calculate_carbon_footprint or calculate_compost_volume. It stops short of naming an alternative it could be confused with, so the differentiation is implicit rather than explicit.

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 only routing information is a pointer to list_bundles for 'astronomie-nature' calculators, which is a cross-reference, not a usage condition. There is no statement of when to prefer this tool over calculate_carbon_footprint or any other sibling, and no prerequisites.

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