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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description adds genuinely new behavior: inputs are processed transiently and not stored or retained, gpu:true nodes always delegate to the browser, and an AP2 artifact with execution_hash is exported for chain provenance. The compute-mode paragraph largely restates the schema's compute parameter, which dilutes rather than extends the disclosure.

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 text opens with boilerplate about OpenChainGraph compute nodes and Cloudflare Workers rather than the tool's actual decision function, then interleaves a documentation URL, a 64-character FV-status hash, and a mid-sentence truncation. The trailing output-field list plus "call describe_tool" instruction is redundant overhead on top of an already bloated paragraph.

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 no output schema, listing the return fields is valuable, and the privacy/no-retention statement plus chaining parameters cover most of what an agent needs. However, the truncated statute sentence leaves obligation_set and statute_citation semantics undefined, and the nested policy_parameters required keys are only documented inside the schema.

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 the baseline is 3, but the description earns credit by warning that compute_flops arrives as a decimal string above the 2^53 safe-integer range — a real trap the schema does not surface. parent_hashes/parent_tool_ids chaining semantics are left entirely to the schema.

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 core purpose appears only in the second half — "Routes supplied model compute (FLOPs...) and developer annual revenue through the California SB 53... Act" — and that sentence is truncated mid-clause at "(eff.", so what the statute does with those inputs is left dangling. The output list (is_frontier_model, is_large_frontier_developer, obligation_set) partially repairs this, but the agent must reconstruct intent. No sibling differentiation is offered despite dozens of overlapping compliance-scope checkers.

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?

There is no statement of when to select this tool versus alternatives such as assess_traiga_exposure or classify_ai_system_governance, and no exclusions. The only directive is the safety constraint "Use synthetic or anonymised inputs only," which governs input hygiene rather than tool selection.

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