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

The description goes well beyond the minimal annotations, disclosing required fields, optional fields, status-code semantics, return values (jobId, titulo, sigla, status, totalPecas, totalTarefas), ignored fields on update, and bulk support via job_ids. This gives the agent a strong behavioral model of what the tool does and what side effects to expect, especially since readOnlyHint=false and no other safety guidance exists.

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 dense but well-organized with actions, field lists, status codes, and return values; every major section earns its place. It is slightly longer than necessary because it covers both create and update behaviors, and the '[Flattened action: create]' line is a machine-generated artifact rather than natural prose.

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?

Given the complexity of the job creation payload and the absence of an output schema, the description is notably complete: required vs optional fields, status codes, nested task input shape, ignored fields, return fields, and bulk support. It is not perfect because it omits 'account', leaves the 'data' string/object representation unclear, and mixes update semantics into a create-flattened tool.

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 compensate. It richly explains the 'data' payload, statuses, and job_ids, but it fails to explain the 'account' parameter and does not address the apparent type conflict where the schema declares 'data' as a string while the description treats it like an object. This is a meaningful gap for correct invocation.

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 clearly identifies the resource ('job (projeto) no iClips') and the primary action 'Cria', with detailed create-field requirements. It loses a point because it also embeds the update action in a tool named *_create and marked '[Flattened action: create]', leaving some ambiguity about which operation this specific tool actually performs.

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 provides good guidance on when NOT to use this tool for pieces/tasks, explicitly directing the agent to iclips_job_pieces_write and iclips_job_tasks_write. However, it does not explicitly distinguish when to use iclips_jobs_write_create versus the sibling iclips_jobs_write_update, and the embedded 'update' action blurs that boundary.

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