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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered; the description adds genuinely new behavior: the default crisis set is not ranked by likelihood, sector notes come from `your_sector` or are inferred from the caller's wording and stay neutral when unclear, and inferred business model is reported back. It still says little about how long the playbooks are or what structure they take, which matters given there is no output schema.

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?

Three sentences, front-loaded with what it does before moving to the optional-input consequences. Every sentence carries information, though the crisis-default and compliance-item points duplicate the schema text almost verbatim, which is the only 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?

For a nine-parameter tool with four required fields, six enums and no output schema, the description covers purpose, the optional-input behavior, and the shape of the return at a level sufficient to invoke it correctly. A short note on the volume or structure of the returned playbooks would close the remaining gap left by the missing output schema.

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 every one of the nine parameters is already documented in the schema, including the fallback behavior for `potential_crises` and the use of `compliance_requirements`. The description restates those same points rather than adding syntax, formatting, or interaction detail, 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 names a concrete verb and resource ('decide who does what when a crisis hits') and states the output ('returns crisis playbooks with a response team and notification steps for each crisis'). Together with the named inputs (company, industry, customer base, data sensitivity) an agent can tell instantly this is a crisis-response planning tool, and no sibling in the list overlaps with that scope.

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 operating context ('when a crisis hits') and explains the two conditional paths: supply `potential_crises` to get exactly those playbooks, or omit it to fall back to a sector default set. It also tells the caller the effect of supplying compliance items. What it lacks is any explicit when-not or alternative-tool routing, though none of the siblings are real substitutes.

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