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

Annotations already declare idempotentHint=true and destructiveHint=true; the description reinforces this by labeling the operation an upsert and clarifying that only supplied fields are changed, so other fields survive. It adds semantics (binds EVERY caption) beyond the annotations, but does not explicitly describe what overwriting the knowledge base destroys or any auth/permission requirements.

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?

Front-loads the core action and impact in the first clause, then layers field list, limits, and the read-first hint. Dense and largely waste-free, though the parenthetical '(composed into each generation)' slightly interrupts flow.

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 five-parameter mutation tool with no output schema, the description covers the partial-update model, field list, size limits, and how to inspect current state. What remains missing is the identity/scope of influencerId and any note on permissions, but the behavioral picture is otherwise sufficient to invoke 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 0%, so the description must carry parameter meaning. It names the four knowledge fields to be passed and restates the ≤4000 char cap, but the required influencerId parameter is only implied by 'owner knowledge base' and its uuid format is never explained, leaving one of five parameters undocumented in prose.

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 (upsert) and resource (the owner knowledge base), and enumerates the four fields it manages: brand_facts, voice, audience, do_dont. It also distinguishes itself from adjacent tools by referencing get_influencer_agent for reads and explaining its effect on captions, so an agent can tell it apart from update_influencer_agent and get_influencer_agent.

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?

Gives clear operational guidance: pass only the fields to change, respect the ≤4000 char limit, and read current values via get_influencer_agent first. It names the read alternative explicitly, but does not state when to prefer this over the sibling update_influencer_agent, leaving that boundary to inference.

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