add_job_comment
Attach a comment to a job by providing the job ID and comment text.
Instructions
Add a comment to a job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| job_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Attach a comment to a job by providing the job ID and comment text.
Add a comment to a job.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| job_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It only states the basic action without mentioning side effects, permissions, error conditions, or idempotency. This is insufficient for an AI agent.
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 very concise (one sentence), which is good for front-loading. However, it is too brief and lacks necessary details, making it minimally adequate rather than well-structured.
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 a write operation and the existence of an output schema (details not provided), the description is incomplete. It does not explain what the tool returns or how to handle errors, leaving the AI agent with insufficient context.
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?
The input schema has 2 parameters with 0% description coverage. The description does not elaborate on 'text' or 'job_id' beyond their names, leaving their semantics underspecified. For example, it's unclear if 'text' has length limits or format requirements.
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 'Add a comment to a job' clearly states the action (add) and the resource (comment to a job). It differentiates from sibling tools like add_group_comment or add_parent_group_comment. However, it doesn't specify the parameters or context.
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?
No guidance is provided on when to use this tool versus alternatives like add_group_comment. The description does not mention exclusions or prerequisites for using this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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