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

The description discloses that partial success is normal, that responses must be read per record, and that records land in a shared AIsa workspace visible and editable by others with no per-caller isolation. This adds meaningful behavioral context beyond the annotations (destructiveHint, openWorldHint) and aligns with them — the shared-workspace disclosure is especially valuable for a destructive, open-world write.

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?

Three sentences with no filler: the core purpose is front-loaded in the first sentence, followed by the two critical behavioral caveats. Every sentence earns its place without redundant phrasing.

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 an output schema present, explaining return values isn't necessary. The description covers the key risks for a bulk, destructive, open-world write: partial-success semantics, shared workspace visibility, and per-record response reading. The 7-parameter tool is adequately contextualized for correct invocation.

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 100%, so all seven parameters are already documented in the input schema with descriptions. The tool description adds no parameter-specific detail but does not need to; the baseline 3 applies when the schema carries the documentation burden.

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 states a specific verb ('create'), resource ('tasks'), and scope ('several in one call'), which clearly differentiates it from the single-task sibling post_apollo_tasks. It is not a tautology — it gives an agent an accurate mental model of the bulk operation.

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 conveys the bulk-use context ('several tasks in one call') and sets expectations that partial success is normal, which is useful operational guidance. However, it does not explicitly name the single-task alternative (post_apollo_tasks) or state conditions for choosing one over the other — the differentiation is implied by the word 'bulk' rather than stated.

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