create_student_anonymization_map

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

Annotations are absent, so the description carries the full burden. It only mentions creating a CSV file without disclosing side effects (e.g., file overwrite behavior), authentication needs, or whether it modifies any data. The return value is not described despite an output schema existing.

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 short (two lines plus an Args block) and front-loaded, with no fluff. However, it omits important details like output schema context, which would fit naturally without bloating.

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?

Despite having an output schema, the description does not mention what the tool returns (e.g., the map, a status). It also lacks context about the CSV file location (local to server or client) and any side effects. The tool is simple but incomplete for safe use.

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%, but the description clarifies the parameter 'course_identifier' as 'Course code or Canvas ID', adding meaning beyond the schema's type information. It could be more specific about allowed formats or constraints.

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 it creates a local CSV file mapping real student data to anonymous IDs for a course, specifying the verb 'Create' and the resource. However, it doesn't differentiate from the sibling tool 'get_anonymization_status' and could be more explicit about the scope.

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, no prerequisites or exclusions are mentioned. Siblings like 'get_anonymization_status' exist but are not referenced.

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