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

The description discloses significant behavioral traits: it validates content against exact allowed transformations, ignores only Office ZIP compression/timestamps, rejects client-provided status/author/hash as approval, and saves an immutable version requiring separate human reviews. This goes beyond the annotations (readOnlyHint=false, destructiveHint=true) by explaining the validation logic and the requirement for additional reviews. The description does not contradict the annotations.

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 concise and front-loaded with the core purpose. Each sentence adds meaningful information about validation rules, rejection criteria, or post-conditions. It could be slightly more structured (e.g., separating validation rules from post-conditions), but it is efficient and not bloated.

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 tool's complexity (4 required params, nested object, no output schema), the description covers the key behavioral aspects: what is validated, what is ignored, what is rejected, and what happens after submission. It doesn't describe the return value or error format, but the absence of an output schema and the presence of idempotencyKey suggest the tool returns a standard result. The description is sufficient for an agent to understand the tool's role and constraints.

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 only 25% (only idempotencyKey has a description). The description does not explain itemId, contentBase64, or assignmentRevision semantics beyond what the schema provides. However, the description's context about validation and rejection criteria indirectly clarifies the purpose of contentBase64 and assignmentRevision. The idempotencyKey description in the schema is already detailed, so the tool description doesn't need to repeat it.

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 tool's function: submitting a client-filled Office/PDF file for validation against an assignment's allowed transformations. It distinguishes itself from siblings like helvabase_prepare_client_file and helvabase_read_client_file_assignment by emphasizing the submission/validation action and the strict acceptance criteria.

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 when to use this tool: when a client file has been filled and needs to be submitted for validation. It explicitly states what the tool rejects (other edits, stale assignments, invalid bytes, foreign workspaces), which guides the agent on preconditions. However, it doesn't explicitly name alternative tools for different scenarios, though the sibling list provides context.

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