summarize_interviewer_activity

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 behavioral disclosure. It indicates that the tool produces counts/statuses, but it does not state whether the operation is read-only, whether it requires any data to already be staged, how aggregation works, or what the returned structure looks like.

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 sentence with no filler and gets to the point immediately. It is efficient and front-loaded, though it sacrifices important operational detail for brevity.

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?

There is no output schema and no annotation support, yet the description does not explain return values, parameter meanings, or the relationship between the four inputs. For a tool with four parameters and no structured metadata, this is insufficient for an agent to invoke it correctly and confidently.

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 schema has 0% description coverage, and all four parameters are undocumented in the schema. The description only helps infer that interviewer_ids relates to interviewers; from_utc, to_utc, and profile are left entirely to guesswork, so the description does not adequately compensate for the schema gap.

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 names the action ('summarize'), the resource ('interview counts/statuses for one or more interviewers'), and the data source ('available interview list data'). It is easy to understand what the tool does, but it does not explicitly distinguish itself from sibling tools such as summarize_fieldwork_status or investigate_interviewer_anomaly.

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 about when to use this tool versus alternatives, no explicit exclusions, and no named sibling tools. The phrase 'from available interview list data' only implies a data source; it does not explain the conditions that would make this tool the right choice over similar summary or QC tools.

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