assign_drp_alerts

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It says nothing about side effects, whether this is a write operation, required permissions, or consequences of assignment. The example variables imply a bulk assignment operation, but no explicit behavioral disclosure is present.

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 a single dense string that mixes a technical identifier with a truncated example. It is not front-loaded with a clear purpose statement and is not structured in a scannable way. It is under-specified rather than concise; the space is not used to communicate essential guidance.

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?

This is a complex bulk assignment tool with no annotations, no output schema, and only a cryptic input schema. The description fails to explain the return value, the required fields within 'input', error conditions, or how the 'filter' controls which alerts are assigned. It is wholly inadequate for an agent to reliably invoke this 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?

Although the schema has descriptions for both parameters, the 'input' description is just a GraphQL type reference ('DRPAlertBulkAssignmentInput!'), and 'customer_slug' is an optional header override. The example variables add some concrete field names (assignee, comment, filter, etc.), but these are not explained semantically. An agent would struggle to understand that 'assignees' within the filter determines assignment targets or what 'includeUnassigned' does.

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 merely restates the mutation name ('DRP Alerts · mutation assignDRPAlerts') and provides a variable example. It does not explain in plain language that this tool assigns DRP alerts to an assignee, nor does it distinguish its purpose from the singular 'assign_drp_alert' sibling. This is essentially a tautology of the tool name.

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?

There is no guidance on when to use this tool versus alternatives. The presence of both 'assign_drp_alert' and 'assign_drp_alerts' siblings creates ambiguity, but the description offers no hint about bulk vs. single assignment or which one to choose in which situation. No exclusions or alternative references are provided.

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