batch_generate_reports

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

No annotations are provided, so the description must carry the full burden for behavioral disclosure. It does not mention whether the tool is read-only, destructive, requires authentication, or has rate limits. It only describes input and output formats, missing a safety statement.

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 three sentences, front-loaded with the primary action, and every sentence contributes essential information. No redundant or extraneous content.

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 presence of an output schema, return values need not be explained. The description covers purpose, input modes, and key output components. It does not mention error handling, prerequisites (e.g., file existence), or performance limits, but overall it is adequate for a batch generation 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?

Schema description coverage is 100%, so baseline is 3. The description adds value by grouping parameters into inline vs CSV modes, but the schema already describes each parameter's role. No additional semantics beyond what the schema provides.

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 'generate', the resource 'structured weekly student progress report', and the context 'from raw student data'. It also specifies input modes and output components, making it distinct from siblings like 'analyze_course_feedback' or 'create_course_outline'.

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 implies usage for batch report generation by describing input options and output, but it does not explicitly state when to use this tool versus alternatives or provide exclusions. The siblings are distinct enough that confusion is minimal.

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