create_settings_notifications_telegram

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

Annotations already cover read-only, destructive, and idempotent behavior, and the description aligns with them. The description adds useful context by stating this is an update and that the body fields must be discovered via GET or /schema. It does not disclose auth requirements, rate limits, or the full scope of side effects, so it is adequate but not rich.

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 compact and front-loaded: a one-line summary, the endpoint, and a single Args note. The GET/schema instruction earns its place and there is no filler. It is well structured, though slightly boilerplate in its wording.

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 one-parameter tool with an opaque body, the description provides the essential invocation step (read GET/schema first), and the output schema plus annotations cover return values and safety traits. However, it does not explicitly explain when to choose this over list_settings_notifications_telegram or the *_test sibling, nor does it mention authentication or side-effect scope. This is minimally viable rather than fully complete.

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?

The input schema only defines 'body' as an open object, so the agent would otherwise have no idea how to construct it. The description compensates by calling it a 'Request payload' and directing the agent to the matching GET or /schema endpoint for the expected fields. This meaningfully adds value beyond 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 description clearly states a specific action and resource: 'Update Telegram notification settings.' It also gives the exact endpoint and the Telegram qualifier helps distinguish it from sibling notification and test tools. However, the tool name begins with 'create_' while the description says 'update', creating a mild semantic mismatch.

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 provides clear context: use this to update Telegram notification settings. It also gives an explicit precondition—read the matching GET or /schema endpoint first—so the agent knows how to prepare the body. It does not explicitly contrast this tool with list_settings_notifications_telegram or the *_test sibling, but the intended use is clear.

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