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

Annotations already establish readOnlyHint=false, so the write nature is expected. The description adds meaningful behavioral detail: create returns idTarefaJob, update is partial (only send changed fields), and write field names differ from read field names. It does not disclose serialization expectations or error/overwrite behavior, but this is still solid coverage beyond the annotations.

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 front-loaded with a clear purpose and organized into create/update actions, making it easy to scan. The field-name mapping note and bulk support sentence are valuable. The cryptic line '[Flattened action: update]' adds confusion and prevents a perfect score.

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?

The description covers required and optional fields, the returned idTarefaJob, bulk support, and the read/write naming mismatch, which is substantial for a write tool. It is not fully complete because there is no output schema and the description does not clarify how the string-typed data parameter should be encoded or how bulk task_ids/job_ids interact with data. These are important gaps for reliable invocation.

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?

With 0% schema description coverage, the description carries most of the parameter burden. It explains job_id, task_id, data subfields, and the bulk job_ids/task_ids. However, it treats data as an object via data.titulo while the input schema types data as a string, leaving the required serialization format ambiguous. The account parameter and how data behaves in bulk batch calls are also unexplained.

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 states the verb and resource: it creates or updates a manual task inside an existing iClips job. It also differentiates from read tools by warning about different field names. However, it loses a point because the tool name and '[Flattened action: update]' suggest an update-only tool, while the description also claims create behavior, and it does not explicitly distinguish itself from the sibling iclips_job_tasks_write_create.

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 gives explicit conditions for create versus update: create requires job_id and data.titulo, while update requires job_id and task_id, and only changed fields should be sent. It also provides a useful routing hint about field-name differences from iclips_projects_extract. It stops short of 5 because it never explicitly says when not to use this tool or names the sibling create tool as an alternative.

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