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

Well beyond the annotations, it discloses that delivery goes to the account's connected channels rather than this conversation, that invalid vocabulary values are dropped and reported in ignored_params, how the default channel is resolved, and that 'nothing existing is changed'. It also states the alert.id returned becomes the addressing handle for later calls.

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 scope and delivery model are front-loaded before the example, and nearly every sentence carries information. Some clauses are dense and em-dash-heavy, and the trailing 'Effect:' sentence partially restates what precedes it.

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 6-parameter tool with a 35-facet nested object and no output schema, the description covers the create-vs-reuse effect, the channel defaults, the ignored-value behavior, and the returned alert.id. An agent has everything needed to invoke it correctly.

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 coverage is 100%, so the baseline is 3, but the description still adds real meaning: a fully worked filters example, the rule for salary_min currency pairing with filters.salary_currency, and the channels default behavior. The filter vocabulary source (facets tool) is only referenced indirectly through 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 opens with a precise verb+resource ('Create a job alert: a saved search over ANY of the job search's filters') and immediately defines the delivery semantics. It is clearly distinguishable from siblings like list_subscriptions, update_subscription, unsubscribe, and subscription_updates.

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 concrete usage conditions: the search must narrow the catalogue, empty channels falls back to a defined default, and an existing equivalent search is reused rather than duplicated. It does not explicitly name the sibling used to remove or modify an alert, so the exclusion guidance is implied rather than stated.

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