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

Beyond the sparse annotations, the description discloses important behaviors: it is idempotent, re-running returns the existing resource and skips existing seed files, Floot mints all secrets server-side, and it injects env vars, pages, endpoints, helpers, and service workers depending on resource type. It also flags beta-gating. This gives the agent a strong behavioral model with no contradiction to the annotations.

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 front-loads the core purpose, then uses a scannable bullet list for resource types. The trailing sentences about beta-gating, email, external-resource alternatives, and idempotence all carry useful routing or behavioral information rather than padding. It is longer than average, but each section earns its place.

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 two-parameter tool with no output schema, the description covers available resource values, environment variables, code-seeding behavior, beta limitations, and alternative tools. The main gap is that it does not clearly describe what the tool returns on a successful first-time call, though it does mention that re-running returns the existing resource. Overall, an agent has enough context to select and invoke the tool 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?

The schema has 0% description coverage, so the description must compensate. It does well for the `resource` parameter by enumerating supported values and explaining the side effects of each, but it never explicitly maps the bullet list to the `resource` parameter. The `projectId` parameter is only implied via 'for the project' and is never explicitly described, though its meaning is fairly obvious from the name.

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 states a specific action: provision a Floot-managed backend resource and seed the working code for it. It distinguishes itself from siblings by explicitly listing supported resource types and naming request_external_resource as the alternative for external keys. The purpose is concrete and immediately actionable.

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 explicit when-to-use and when-not-to-use guidance: use this for Floot-managed backend resources, use get_guides('email') for app email, and use request_external_resource for a user's own external keys. It also warns that enum values outside the listed ones are beta-gated and unavailable on most accounts, preventing invalid calls.

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