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

Annotations only cover the safety triad; the description goes well beyond by disclosing the AI auto-captioning step (GPT-4o Vision), the OpenAI key requirement, the resulting public endpoint /api/kb/image/[id], and the failure mode where a weak AI description causes the agent to miss the image and hallucinate a link. It even recommends the remediation workflow with update_kb_document, which is exactly the kind of context annotations cannot carry.

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 core action and input modes are front-loaded in the first two sentences, followed by consequences and practical follow-up advice. It is denser and longer than typical, and the operational tip about phrasing the update as the customer's question could arguably be trimmed, but every sentence carries real information rather than repetition.

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?

No output schema exists, so the description carries the burden of explaining what creation produces (an indexed, semantically searchable record reachable at a public URL) and it does so. Combined with the auth/key prerequisites and the multilingual note on scoping via target_user_id, an agent has everything needed to invoke and then use the result.

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 five parameters (including the image_url/image_base64 precedence and the admin-only target_user_id) are already documented in structured form. The description reinforces the URL-vs-base64 distinction but adds no syntax, size limits or format constraints beyond it, so the baseline 3 applies.

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 concrete verb pair ('Cria e indexa') plus the resource (IMAGEM na base de conhecimento) and the two accepted input forms (URL pública or base64). This clearly separates it from the sibling creators create_kb_audio, create_kb_video and create_kb_document without the agent needing to open their schemas.

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?

Explicitly says when to use URL versus base64 ('quando a imagem não está hospedada em lugar nenhum, ex: arquivo local') and points to a follow-up tool (update_kb_document) plus a concrete downstream consumer (header_image_url for create_whatsapp_template). It also spells out the target_user_id condition (admin only, default = authenticated account), leaving little to inference.

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