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

With no annotations provided, the description carries the full burden and does a good job: it discloses that facts are never invented, it never auto-posts (human publish rail), and it specifies an output style ('speak_first / board-style summary first'). It lacks some details like permission requirements or exact state changes, but the critical safety behaviors are covered.

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?

The description is a compact three-sentence block with no redundancy. It front-loads the value proposition and then provides usage and constraints, although the first sentence is dense with jargon ('Marketing-by-construction', 'CoS telemetry', 'Wisdom/Proof factories') which slightly reduces immediate readability.

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 tool with no output schema and no annotations, the description is reasonably complete: it covers purpose, when to use, behavioral guards, and output style. It does not fully describe the shape of the returned 'content atoms' or the exact factory mechanics, but it gives enough context for an agent to select and invoke the tool correctly.

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% for all three parameters, so the schema already handles parameter semantics. The description adds little beyond implying 'recent' (hours) and 'THIS operator' (companyId), but it does not meaningfully enrich understanding of hours, companyId, or max_atoms 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?

The description uses a specific verb ('pack') and clearly identifies the resource ('THIS operator's recent CoS telemetry into one-job content atoms'). It also names the output categories ('Proof/Story/Take · Wisdom/Proof factories') and explicitly ties usage to 'after a dogfood call,' making it distinct from broader content tools like originate_content_ideas.

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?

Explicit 'Use after a dogfood call or when they ask...' provides clear when-to-use context. It also states key exclusions/constraints ('Never invents facts not in events; never auto-posts'), but it does not name alternative sibling tools, so it falls short of a 5.

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