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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the direction of the adjustment (less leavening, more liquid, higher temp), which is useful domain context, but says nothing about permissions, limits, or edge cases like sea-level input.

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?

Four short sentences, purpose and mechanism front-loaded before the input/output summary. The trailing bundle pointer is marginally useful and the list reads cleanly, with little 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?

An output schema exists, so return values need not be spelled out, and annotations carry the safety profile. The description covers purpose, trigger context, and inputs adequately; only the sibling disambiguation is thin for a catalog with several baking/recipe calculators.

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%, so all five parameters are already documented by the schema, establishing the baseline of 3. The description only summarizes 'altitude m, ingredients' and actually blurs the granular ingredient params (flour/sugar/liquid cups) into one vague term, adding no real meaning.

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+resource+mechanism: 'Adjust baking recipe for high altitude (less leavening, more liquid, higher temp).' An agent immediately knows what it computes. However, it does not differentiate itself from close siblings like calculate_baking_conversion or calculate_recipe_scale; the 'see list_bundles' pointer is not the same as naming the alternative.

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?

'Use for mountain cooking' gives an implied context for use, which is better than nothing. But there is no when-not guidance (e.g., low-altitude recipes, general baking conversions) and no mention of the sibling calculators that would cover adjacent cases.

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