add_contexts_batch

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 mentions efficiency for bulk operations, which is useful behavioral context, but lacks details on permissions, rate limits, error handling, or what happens on failure (e.g., partial success). For a mutation tool with no annotations, this leaves significant gaps in understanding its behavior.

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 two concise sentences with zero waste. The first sentence states the core purpose, and the second adds critical usage guidance. It is front-loaded and efficiently communicates essential information without unnecessary details.

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 no annotations and no output schema, the description is incomplete for a mutation tool. It covers purpose and usage well but misses behavioral aspects like side effects, return values, or error conditions. For a tool that modifies data in bulk, more context on outcomes and risks would be beneficial.

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 schema fully documents the 'contexts' parameter and its nested structure. The description does not add any parameter-specific information beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate as the schema handles the heavy lifting.

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 action ('Add multiple context entries'), the target ('to the vector database'), and the operational context ('in a single operation'). It specifically distinguishes this tool from its sibling 'add_context' by emphasizing bulk operations and efficiency for bulk indexing.

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 explicitly provides usage guidance by stating this tool is 'More efficient for bulk indexing,' which directly advises when to use this tool (for bulk operations) versus its sibling 'add_context' (likely for single entries). It effectively differentiates between batch and single operations without needing to name alternatives explicitly.

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