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

Annotations declare readOnlyHint=true, destructiveHint=false, so safety is already covered. The description adds a behavioral note about auto-suggesting objections and deriving value props, but this duplicates what the schema descriptions already state for those parameters, so the added value is modest.

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 tightly packed sentences with the core action front-loaded. The rhetorical questions ('Know your objections?') are stylistic flourish rather than information, but they cost little and the whole thing is easy to scan.

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 8 parameters, no output schema, and no annotations describing output shape, the description should indicate what the agent gets back (handlers, talk tracks, length). It explains the suggestion fallback but leaves the returned artifact undefined.

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 8 parameters are already documented, including the derivation logic for value_props and common_objections. The description adds no syntax, format, or constraint detail beyond that baseline.

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 verb+resource ('Generate sales content') is combined with a clarifying second sentence that reveals the actual artifact: objection handlers. That distinguishes it functionally from case_study_generator or webinar_script, though it never names or contrasts a sibling explicitly, keeping it out of the 5 band.

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 conditional context ('Know your objections? ... New product with no sales data yet?') which implies when each mode applies, but it never states when to choose this tool over content_repurposer or craft_content_improver, nor any prerequisites or exclusions.

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