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set_notification_destinations

Choose which notification channels a source's notifications are delivered to for the authenticated customer. ADMIN only. Pass the notification-channel ids (UUIDs from list_alert_channels). Omit channelIds to clear the destinations, which returns whatever was addressed to the next step down: a subject falls back to its source, and a source falls back to the default, which is the customer's email channel plus their default channel. Pass an empty list to turn notifications off entirely for whatever was addressed.

Pass subject to route one alert rule or one API test on its own. A subject row outranks the source row at delivery time, so turning a source off will not stop deliveries that a subject row still routes. Returns the saved destinations as JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesThe notification source. Validated against the set of routable sources; an unknown value is rejected with the valid set named in the error.
subjectNoOptional. The id of one thing within the source to route on its own: an alert rule id for source alerting (the id field from get_alert_rules), or an API test id for source e2e-monitoring. Omit to address the whole source.
channelIdsNoNotification channel ids, or omit to clear, or [] to turn off

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does it well. It discloses mutation behavior, fallback resolution to subject/source/default, the distinction between omit vs empty list, precedence between subject and source rows, and the return format. This level of behavioral detail is unusually high for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but every sentence teaches a distinct behavior needed for correct invocation: ADMIN scope, UUID source, omit vs empty, subject routing, and output. It eschews filler and stays organized in two coherent paragraphs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has three parameters, no annotations, and no output schema. The description nevertheless explains what the input values mean, what happens for each input variant, the precedence behavior, and the return value. It fully compensates for the missing structured annotations and output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

While the schema already provides 100% coverage, the description enriches each parameter with operational meaning beyond schema strings: it clarifies that channelIds must come from list_alert_channels, defines the fallback semantics of 'omit', the disabling semantics of '[]', and the subject's dual role as an alert rule id or API test id. This goes well beyond the standard baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Choose/set') and resource ('which notification channels a source's notifications are delivered to') and clearly conveys that this is the mutation counterpart to get_notification_destinations. It also notes the ADMIN-only restriction, which locks the operational scope for the agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear usage instructions: pass channel UUIDs from list_alert_channels, omit to clear, pass [] to disable, and use subject to route a single rule/test. It also provides a delivery-order caveat, but it does not explicitly refer to get_notification_destinations as the way to read current destinations. Since the setter role makes the usage context clear and alternatives are not necessary, this is strong but not fully explicit.

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

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TDQS

A3.8/5.0
Disambiguation2/5

Several tool pairs are near-duplicates, including three deprecated aliases (add_investigation_alert_channel vs add_alert_channel, list_investigation_alert_channels vs list_alert_channels, remove_investigation_alert_channel vs remove_alert_channel) that muddy the surface. Additionally, suppress_signal and create_ignore_rule both suppress alerting via different mechanisms, which could cause misselection despite detailed descriptions.

Naming Consistency4/5

The vast majority of tools follow a clear verb_noun snake_case pattern (create_api_test, list_issues, set_alert_rule_status). A few bare-noun tools (logs, spans, metrics) and the standalone verb correlate break the pattern slightly, but overall the naming is highly consistent and predictable.

Tool Count1/5

With 52 tools, this is on the extreme end of the calibration scale. Even accounting for the broad scope of an observability platform, the count is excessive and includes several deprecated redundancies that inflate it further.

Completeness5/5

The toolset provides comprehensive CRUD/lifecycle coverage across all major domains: alert rules (create, read, update, delete, status, delivery, preview), API tests (create, read, update, delete, run history, credentials), ignore rules and suppressions, issues with digest config, investigations with claim/read, channels, credentials, and rich query tools (logs, spans, metrics, SQL, traces, correlation). No obvious dead ends or missing core operations.

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