get_aws_recommendation

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

The first sentence claims the tool can 'plan and automate purchases,' which implies a write or side-effect behavior, while annotations declare `readOnlyHint: true` and `destructiveHint: false`. This is a direct contradiction. The later sentences add some useful return-content context, but the misleading claim undermines the safety profile.

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 three sentences are reasonably compact and the concrete details appear in the second and third sentences. However, the first sentence is marketing language about planning, automating, and optimizing that does not describe the tool's actual behavior and should be removed or rewritten.

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 should provide more detail about the returned 'analysis metrics and time-bucketed eligible spend' fields. It also fails to clarify how `managementAccountId` identifies the organization and how `customerContext` applies for DoiT employees, leaving gaps for correct invocation and interpretation.

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 only 20%, so the description must compensate. It adds meaning for `serviceId` (commitment type) and `granularity` (bucket size, defaulting to `day`), but it leaves the required `managementAccountId` unexplained despite referencing the AWS organization, and it does not address `X-Tenant-Id` or `customerContext`. This is partial compensation at best.

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 the tool returns a recommendation for one commitment type (`serviceId`) on the AWS organization, including analysis metrics and time-bucketed eligible spend. This distinguishes it from a list-style sibling like `list_aws_recommendations`, though it does not explicitly name that sibling and the opening sentence is broad product marketing.

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 implies when to use the tool: when you need a recommendation for a specific commitment type and want eligible-spend buckets sized by `granularity`. However, it gives no explicit alternatives or conditions, such as when `list_aws_recommendations` or `get_commitment` would be more appropriate.

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