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

Annotations already declare this read-only, idempotent, and non-destructive, so the safety profile is covered. The description adds that this is advisory playbook content rather than transactional data, which is useful framing, but it says nothing about how the principles are scoped, ranked, or bounded — an output schema exists, so return shape need not be explained.

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?

A single front-loaded sentence with the verb and resource first, followed by the qualifying examples. The situation list is long but each item earns its place by widening the recognisable trigger conditions; the extra 'such as ... or ...' chaining is slightly heavier than needed.

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 one-parameter, read-only retrieval tool with a fully documented schema and an output schema, the description covers purpose and trigger conditions adequately. Only a note on how results should be interpreted or scoped (e.g. that these are guidance principles, not data) would close the remaining gap.

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 the baseline is 3. The description goes further by enumerating the situation categories that constitute a valid 'topic', effectively hinting at the input space beyond the schema's single free-text example — real added value for a free-form string parameter.

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 ('Retrieve') and a specific resource ('category-management playbook principles'), plus the situations that make them relevant. It is clearly distinct from the data-fetching siblings (get_product_master, get_sales_metrics, get_inventory_position), but it never names an alternative, 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 enumerated situations (supply disruption, slow sales, stock pressure, competitor moves, ranging, pricing) give the agent clear context for when this tool applies. It stops short of exclusions or pointing to sibling tools for related data, so it is context without boundaries.

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