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set_investigation_cloudwatch_credentials

Store (create or overwrite) the authenticated customer's AWS CloudWatch monitoring credentials. ADMIN only. accessKeyId, secretAccessKey, and region are required — use a permanent IAM user's access key and secret, not temporary STS credentials (those expire and are not supported). This tool never returns the stored value back — only a confirmation message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionYesAWS region, e.g. eu-west-1.
accessKeyIdYesAWS access key id.
secretAccessKeyYesAWS secret access key.

TDQS

A4.7/5.0
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 excellently. It discloses that the operation is mutating (create/overwrite), requires admin privileges, never returns the stored value, and rejects temporary STS credentials. This goes beyond what the schema provides and clearly sets expectations.

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?

Three sentences, each earning its place: purpose, requirement/constraint, and return behavior. It is front-loaded with the core function and immediately provides essential usage details. No filler.

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?

Given the tool's simplicity (3 required params, no output schema), the description fully covers purpose, authentication requirements, parameter constraints, and expected response behavior. It lacks nothing critical for an agent to invoke the tool correctly and understand the outcome.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds valuable context beyond the schema by explaining that all three parameters are required and that accessKeyId and secretAccessKey must be from a permanent IAM user (not STS). This gives meaningful guidance for choosing correct parameter values.

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 uses a specific verb ('Store') with explicit create/overwrite semantics, names the resource (AWS CloudWatch monitoring credentials), and clearly distinguishes from the sibling set_investigation_datadog_credentials by specifying 'CloudWatch'. It is unambiguous and precise.

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?

Provides clear context: ADMIN only, and requires permanent IAM keys rather than temporary STS credentials. It implies that this tool is for CloudWatch credentials specifically, but it does not explicitly mention alternatives like set_investigation_datadog_credentials or when to choose one over the other, so it misses the full when-not-to-use guidance.

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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