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

With readOnlyHint, idempotentHint and openWorldHint already declared, the bar is lower, and the description does add something beyond them: enablement happens only on aeondata.io, signed in as this account, and the tool returns a page URL for that. However, 'This tool changes nothing in the account' largely restates readOnlyHint/destructiveHint=false, and nothing is said about rate limits, caching, or failure modes when a ticker or person slug is invalid.

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 short sentences, front-loaded with what you get before how to query it. The closing line 'Information, not advice' is a compliance disclaimer that could be cut, but the rest of the text is dense and earns its place.

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?

There is no output schema, so the description needs to carry the return shape, and it largely does: current alerts, the allowed maximum, cadence, an add-eligibility verdict and a page URL. For a zero-required-parameter read tool this is close to complete; only the multi-parameter interaction and error behavior are left unstated.

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% and the enum for pattern already spells out ceo, cluster, million and congress in detail, so the schema does the heavy lifting. The description maps the parameters to natural-language categories ('a stock, a person, three-dot signals or a pattern') but adds no semantics beyond that, and does not say what happens when several parameters are supplied together, which is the one ambiguous combination worth clarifying.

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 names the resource clearly: the alerts this account has enabled, the cap on how many it can have, their frequency, and an eligibility check for a specific alert. This is enough to separate it from siblings like get_signals or get_ticker, though it never names a sibling explicitly and the opening phrasing ('The alerts this Aeon account has on...') is a fragment rather than a clean verb+resource statement.

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?

It gives a concrete usage path: pass a stock, person, three-dot signal or pattern to learn whether that alert can be added. It also states the when-not case, saying the reader must go to aeondata.io to actually turn alerts on or off, which steers the agent away from expecting a mutation here. No comparison to sibling tools is offered.

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