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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description still adds genuinely useful behavioral content by disclosing what comes back in the absence of an output schema - facts, governance considerations, and sources with review dates. It does not mention error behavior for unknown product names or how the optional controls filter changes the result set.

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 with no filler; the scope ('one AI product and plan') and the returned payload are front-loaded before the input note. Every clause carries information.

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?

With no output schema, the description correctly takes on the burden of describing the response shape, which is the most important missing structured information here. It is largely complete for a read-only single-record lookup, with only minor gaps around failure modes for a non-matching product name.

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 both parameters are already documented, which sets the baseline at 3. The description's 'Accepts a profile id or a product name' restates the product parameter's dual-input nature without adding format, resolution-order, or precedence detail beyond the schema.

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 ('Returns the framework's research on one AI product and plan') and enumerates the payload: facts, governance considerations, cited sources with review dates. It clearly differs from a search-style sibling, though it never names search_library or another sibling explicitly, so differentiation is inferred rather than stated.

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?

Usage is only implied: 'one AI product and plan' and 'Accepts a profile id or a product name' suggest a single-record lookup rather than a search. There is no explicit when-to-use, when-not-to-use, or statement of which sibling to prefer for discovery versus detail retrieval.

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