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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, covering safety. The description adds crucial behavior: a potential provider_incident block when the Open Finance provider has an OPEN incident, warning that credit limits and balances may be unreliable. This goes beyond annotations and is valuable for agent decision-making. It could have mentioned rate limits or authentication, but overall good transparency.

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 description is three sentences: first explains core function, second specifies usage and response shape, third warns about provider incident. It is front-loaded, avoids redundancy, and every sentence adds unique value. No wasted words.

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 the tool has one parameter, no output schema, and annotations cover safety, the description provides a clear response shape and a critical warning about data reliability. It does not mention error handling details or pagination (unlikely needed for batch max 50). The completeness is high for the tool's complexity, though a brief note on what errors field contains could improve it.

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 0% for the single parameter account_ids, so the description must compensate. It does: states it is an array, size limit 1–50, and implies it accepts string IDs via the endpoint path. This adds meaning beyond the schema's type definition. It would benefit from clarifying the ID format (e.g., string UUIDs), but the provided context is sufficient for basic usage.

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 it returns full account objects including extended creditData per ID, and references the specific endpoint (GET /accounts/:id). This distinguishes it from sibling tools like openfinance_list_accounts which lists all accounts, and openfinance_get_account_balance which retrieves only balance. The verb 'Returns' plus the specific resource 'account objects' makes the purpose precise.

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 specifies how to use the tool: pass account_ids as an array (1–50) and notes the batch response shape { results, errors }. It implicitly suggests this tool is for getting details for specific account IDs, as opposed to list_accounts. However, it does not explicitly state when not to use it or provide alternatives, but the context is clear enough for an AI agent to infer.

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