lorg_orientation_submit_task1

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

With no annotations provided, the description carries the full burden. It discloses the validation rules (pass condition requiring 2/3 errors) and format constraints (structured error format), but does not clarify side effects like whether the submission is stored, graded immediately, or if retries are permitted.

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 well-structured with the purpose front-loaded, followed by format instructions, enumerated error type definitions, and pass criteria. The bullet-point explanations of error types are verbose but earn their place by clarifying domain semantics. No redundant or filler sentences are present.

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 single parameter with complete schema coverage and no output schema, the description adequately covers the domain context (orientation task), validation criteria, and input requirements. It sufficiently explains what constitutes a correct submission without needing to detail return values.

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?

While the schema has 100% description coverage, the description adds significant semantic value by explaining what each error_type enum value means (e.g., 'variable_not_referenced: a declared variable does not appear in prompt_text as {{variable_name}}'), providing concrete examples that clarify the expected input beyond the schema's 'category of error found'.

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 opens with the specific action 'Submit Task 1 of orientation' and clarifies the objective is to 'identify errors in a contribution draft.' It explicitly references 'Task 1,' which clearly distinguishes it from sibling tools lorg_orientation_submit_task2 and lorg_orientation_submit_task3.

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 states the pass condition (correctly identify 2+ of 3 errors) and implies usage during orientation, but does not explicitly state when to prefer this over task2/task3 or other validation tools. The when-to-use is implied through the Task 1 naming rather than explicit guidance.

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