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

Annotations already mark the tool readOnly and openWorld, and the description adds genuinely new behavioral facts: the call costs $0.50 via x402, the result is a base64-encoded PDF, and the AI health summary is included only when cached. This goes beyond the annotation baseline, though it stops short of disclosing generation latency or per-call regeneration semantics.

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 terse sentences front-load the artifact type and scope before moving to contents, return format, and cost. The parenthetical content list is dense but every clause earns its place; there is no redundant phrasing or filler.

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 output schema, the description compensates by stating the return as a base64 PDF and the conditional inclusion of the health summary; the schema fills in the two-step payment flow (omit x_payment for a quote). Minor gaps remain — generation latency and whether each call incurs the fee — but nothing that would prevent a 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 description coverage is 100% — siren's format is fully specified by pattern and description, and both api_key and x_payment carry detailed behavioral descriptions (prepaid credits vs. the x402 quote flow). The description adds only the price point that contextualizes the payment parameters, so it stays at the baseline for fully covered schemas.

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 produced artifact — an on-demand PDF report of a French company — and enumerates its contents (identity, officers, legal alerts, financials, sanctions screening, cached AI health summary) plus the return format (base64 PDF). It distinguishes the tool from data-returning siblings in the French company group by emphasizing the 'shareable due-diligence dossier' format, though it does not explicitly contrast with the closely named get_french_company_kyb_file.

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 implies the use case — a shareable due-diligence/KYB dossier — and signals that this is a paid premium report ('Paid via x402 ($0.50 in USDC or EURC)'). However, it never names an alternative or states when not to use it, leaving the agent to infer the boundary against siblings like get_french_company_kyb_file or get_french_company_file.

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