ai_tokenize_record

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

Description mentions synchronous behavior and returns final state, which adds transparency beyond annotations. However, no information about destructive potential, authorization, or error conditions. With no annotations, it partially covers behavioral traits.

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?

Single sentence with clear action sequence. Front-loaded with purpose 'Tokenize a single Odoo record'. No redundant words.

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?

For a tool with 4 parameters and no output schema, the description is adequate but incomplete. Lacks details on error handling, side effects, or interaction with configured provider. Given complexity, more behavioral context is expected.

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 coverage is 50% with only model and id described. The description does not add meaning to the undocumented parameters (connection, view_type). It fails to compensate for missing schema details.

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 tokenizes a single Odoo record with specific steps (build, embed, upsert). It distinguishes from siblings like ai_tokenize_collection and ai_search_similar by focusing on single record tokenization.

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?

No guidance on when to use this tool versus alternatives like ai_tokenize_collection. No prerequisites or context for usage. The tool is described as synchronous but lacks when-not-to-use indicators.

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