Execute Processing Batch

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

No annotations exist, so the description carries full burden. It discloses the return format (per-run result with index and success/error status) but omits side effects, permissions, or mutation behavior of the executed algorithm.

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?

Two sentences with no extraneous words. First sentence covers functionality and output; second sentence tells when to use. Information is front-loaded and efficient.

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 tool has no output schema and two parameters with 0% description coverage. Description provides minimal usage context but lacks details on parameter formats and full return structure, making it incomplete for reliable agent invocations.

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 0%, so description must compensate. It explains that 'parameters_list' contains parameter dictionaries but does not specify the expected keys or values, nor what 'algorithm' expects as input. This leaves a significant gap for agent understanding.

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 runs an algorithm once per parameter dict in a list and returns per-run results with index and success/error status. It also positions the tool as a batch operation, distinguishing it from single-run alternatives.

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 says 'Use for applying the same operation over many inputs in a single round-trip,' providing clear context for when to use. However, it does not mention when not to use or point to sibling tools for single runs.

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