submit_raw_validation

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

With no annotations, the description carries the burden. It discloses the main behavior: processing JSON and updating each record's validation status. However, it omits important details such as whether existing statuses are overwritten, how invalid JSON is handled, or any idempotency guarantees. This is adequate but not comprehensive for a mutation tool.

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 well-structured: a clear opening sentence, then a brief workflow explanation. Every sentence provides necessary context without redundancy or filler.

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 and well-described parameters, the description is largely complete for the main workflow. It explains how to use the tool and what it does, but lacks edge-case behavior like rejection reasons or side effects. Overall, it is sufficiently complete for an agent to invoke it correctly.

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 the baseline is 3. The description adds a little context by mentioning the workflow with get_records_for_validation, but it does not meaningfully elaborate on the validation_json structure beyond what the schema already states. It earns the baseline score.

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 purpose: to submit validation results from a chatbot for raw scraped records. It names the specific workflow (via get_records_for_validation) and distinguishes itself from sibling tools like submit_contest_validation by targeting 'raw scraped records'.

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?

It provides clear context on when to use the tool: after a chatbot has received records via get_records_for_validation and validated them. It implies a specific sequence but does not explicitly exclude alternative tools like submit_contest_validation, so it lacks a when-not statement.

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