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

No annotations are provided, so the description carries full responsibility for disclosing behavior. It implies a state-changing side effect (creating a webhook subscription) but does not explain the delivery contract, whether subscriptions are idempotent, how the webhook will be authenticated, or any operational details expected for a webhook-based tool.

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 a single well-formed sentence that states the action and scope in a compact, front-loaded manner. No words are wasted and all key elements appear in the first clause.

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 state-changing tool with no annotations and no output schema, the description is too thin. It does not clarify what happens after subscribing, whether success is confirmed, how the agent is identified, or what delivery format is expected. An agent cannot reliably predict the outcome of invoking this tool.

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 67%, with agent_id and webhook_url already described in the schema. The description's main extra contribution is translating the event_types enum into human-readable Russian terms ('изменении цен, новых заказах Биржи или складских обновлениях'), which adds some semantic value but does not substantially exceed what the enum values already convey.

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 uses a specific verb ('подписать' / subscribe) with a clear resource (AI agent) and specific event categories (price changes, new exchange orders, stock updates). This clearly distinguishes it from all sibling tools, which are read-only query tools.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no mention of when subscription would be more appropriate than polling siblings like get_birzha_orders or get_machine_detail. Usage context is entirely left to the agent to infer.

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