get_free_developer_stack_recommendation

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the tool's purpose and output (a blueprint) but does not reveal important behavioral traits such as output format, detail level, how parameters affect the output, or any limitations. The agent gets no insight into what the returned blueprint looks like or how to interpret it.

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 description is one concise sentence with no fluff. It front-loads the primary purpose and immediately lists the components covered. Every word earns its place; there is no redundant content.

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 tool that outputs a structured recommendation, the description is adequate but lacks details about the output format. It lists the components, which gives the agent an idea, but does not explain how the inputs influence the blueprint or what the deliverable will look like. Given no output schema, a bit more context (e.g., 'returns a step-by-step guide' or 'selects providers per category') would improve completeness.

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?

Both parameters have explicit descriptions in the schema (app_type: 'Type of application being built'; primary_language: 'Primary backend / framework'), and schema coverage is 100%. The description adds no additional semantic detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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 verb 'Recommends' and the resource: a 'production-grade $0/month full-stack infrastructure blueprint' listing the components (Hosting, DB, Auth, etc.). It is specific and unambiguous, but it does not explicitly distinguish itself from sibling tools like get_backend_stack_recommendation, though the name and scope imply a free-tier full-stack focus.

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 gives no guidance on when to use this tool versus alternatives. It does not mention scenarios that favor this tool over sibling recommendations (e.g., when a zero-cost stack is desired) or any exclusions. The usage context must be inferred entirely from the name and description, which is insufficient.

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