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

Annotations already declare the safety profile (readOnly, idempotent, non-destructive), so the description earns credit for disclosing behavior beyond them: dependent steps are skipped after a failure, nothing is retried automatically, each success counts as one execution, and per-input/result/response limits are 256 KiB. The work-budget and batch_work_limit skipping behavior is genuinely useful context. Minor deduction for restating the no-retry policy twice.

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?

It is front-loaded with the core contract, but it is a dense run-on block of five-plus sentences with duplicated content ('nothing is retried automatically' vs. 'successful items are never retried automatically') and undefined terms like 'refused work' that the agent cannot act on precisely.

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 batch executor with an output schema present, the description covers the essentials an agent needs: cardinality, dependency/failure semantics, size limits, and budget behavior. It does not describe partial-failure result shape or permission/consent requirements for the wrapped tools, but the output schema partly covers the return contract.

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% and the nested operation properties (bindings.from, bindings.path, include_result) are already documented in the schema, so the description largely restates binding/JSON-Pointer semantics rather than adding syntax or constraints. The `batch_work_limit` reference adds meaning not present in the schema, but `model` gets no elaboration. Baseline 3 is appropriate.

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?

States a specific verb (Run), resource (ComputeFirst catalog tools), and explicit cardinality bound (1–20 in one request), which immediately distinguishes it from a single-call executor. It does not, however, name the sibling `execute` tool or state the condition that would route an agent to it, so differentiation is implicit rather than explicit.

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?

Usage is implied by the batch/dependency framing (bindings from earlier results, include_result to omit intermediates), and there are edge-case directives such as 'Send additional factory operations separately' and 'Split refused work.' But there is no explicit statement of when to choose this over `execute`, nor prerequisites for calling it, leaving the agent to infer routing.

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