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

Annotations declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered and the bar is lower. The description does add that output is channel-adapted copy with model-appropriate calls to action, but it says nothing about output structure, length, or that uncovered channels get reported as not covered (a detail buried in the 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?

One dense sentence with the core verb and the channel set front-loaded and no filler. It is efficient, though for a seven-parameter tool it is arguably under-sized rather than optimally concise.

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 generation tool with no output schema, the description should say at least something about the shape of the result, yet it only describes inputs. Sector-notes inference and business-model inference behaviours live in the schema, not the description, leaving the agent to reconstruct behaviour from structured fields.

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 seven parameters, including the two enums, are already documented in the schema. The description only echoes the channel list and the business-model-driven CTA behaviour; it adds no format, defaulting, or interaction semantics beyond what structured fields already carry.

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 ('Adapt') plus resource ('positioning statement') and enumerates the target channels and that CTAs are derived from the business model. It is clear what the tool produces, but it never distinguishes itself from similar siblings such as impact_craft_message, so the agent must infer the split.

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 description implies a precondition (you already have a positioning statement) but gives no explicit when-to-use guidance, no when-not-to-use, and no pointer to any sibling tool for adjacent needs. The agent has to guess whether this or impact_craft_message is the right call.

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