get_records_for_validation

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

With no annotations, the description carries full responsibility. It discloses the key side effect: records are atomically marked as 'in_progress' for the given chatbot_id, preventing others from claiming them. It also explains that the returned records are meant for a chatbot with its own web search capability. This covers the most important behavioral trait (state change) beyond what annotations might provide.

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 and about 50 words. It is front-loaded with the core action and efficiently explains the purpose and side effects. The second sentence about the chatbot's web search is useful context, though slightly tangential to the tool's own behavior, but every sentence earns its place.

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 (which likely describes returned records and the validation prompt), the description need not explain return values. It adequately covers the claiming behavior, the atomic state change, and the intended workflow. It could mention edge cases like what happens when no records are available, but that is not a major gap.

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?

The input schema covers 100% of parameters with descriptions, so the baseline is 3. The description doesn't add much parameter-specific detail beyond the schema, except that records are marked for the given chatbot_id, which aligns with the schema's note about using different IDs for parallel processing. This is marginal added value.

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 claims a batch of unvalidated raw records and returns them with a validation prompt. It uses a specific verb ('claim') and resource ('raw records'), and distinguishes from sibling tools like get_records_for_structuring by focusing on validation for a chatbot.

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 provides clear context for when to use (for chatbot validation via web search, claiming unvalidated records) and mentions the atomic in_progress marking to prevent duplicate claims. It implicitly distinguishes from alternatives for other workflows (structuring, events), but doesn't explicitly name alternatives or say when not to use.

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