cigchat_openai_embeddings_import

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

With no annotations, the description carries the full burden. It discloses required scope and input limits, which is useful, but it does not mention side effects (e.g., overwrites, errors) or response format, leaving behavioral gaps.

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 conveying all key constraints and the endpoint without filler. It is slightly packed but still readable and front-loaded with the main action.

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?

The description covers purpose, limits, and auth, but omits important context such as what the response looks like, how the 'type' field is used, and error behavior. For a tool with no output schema, these gaps reduce completeness.

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 0%, so the description must compensate. It gives max character lengths for heading and text but does not explain the 'type' field or the structure of the rows array beyond the schema's minimal definition.

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 'Import OpenAI Embeddings', which is a specific action on a specific resource, and includes the endpoint. It is distinguishable from sibling tools by name, though it does not explicitly contrast with create/generate.

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 constraints (maximum 100 embeddings, character limits) and an auth requirement, but no guidance on when to use this tool versus alternatives such as create or generate. It lacks explicit 'when/when-not' criteria.

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