lc_preview_set_ai_agent

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

No annotations are provided, so the description carries the full burden. It states 'Preview', which suggests no side effects, but it does not disclose what the preview returns (e.g., validation errors, estimated effects), required permissions, or whether it is safe (read-only). This is insufficient for a tool with 10 parameters.

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 a single sentence, which is concise but at the expense of completeness. Given the tool's complexity (10 parameters, nested objects), a slightly longer description would be justified. It is front-loaded with the key verb and resource.

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?

With 10 parameters, 3 required, a complex 'data' object, no output schema, and no annotations, the description is critically incomplete. It does not explain the preview behavior, parameter usage, return format, or any constraints. This is far from adequate for an AI agent to correctly select and invoke the 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?

The input schema has 10 parameters with 0% schema description coverage. The description provides no explanations for any parameter, such as the 'data' object structure, the meaning of 'ui_actions', or the role of 'oid'. This places a heavy burden on the description, which it fails to meet.

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 specifies the verb 'Preview creating or updating' and the resource 'AI agent Hive record', which is clear. It distinguishes from siblings that operate on different entities (e.g., lc_preview_set_hive_record) or other actions (e.g., lc_preview_delete_ai_agent). However, it does not explain what 'preview' entails, which could be inferred from the naming but is not explicit.

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 that the tool is used to preview changes before applying them, but it does not specify when to use it versus alternatives like lc_confirm_action or non-preview versions. No exclusions or alternative tool mentions are provided.

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