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

No annotations are provided, so the description carries the full burden. It does useful work by disclosing the return shape (automated findings plus a minimum set of human questions) despite there being no output schema, but it never states whether the call is side-effect-free, what permissions are needed, or what happens if the app_name already exists.

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?

Three sentences, zero waste, front-loaded with the step position and workflow. The parenthetical enumerating the question categories is dense but each item is load-bearing information the agent would otherwise have to guess.

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 one-parameter planning tool with no annotations and no output schema, the description supplies the missing return-value context and the downstream step. Only the absence of any statement about safety/side effects keeps it from being fully complete.

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?

Only one parameter with 0% schema description coverage, so the description must compensate. It does: app_name is the string reconciled against existing apps and portfolio plan catalogs, which is more meaning than the bare schema string type conveys.

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?

States a specific action (recon app_name against existing apps and plan catalogs) on a specific resource, and explicitly positions itself as "Step 1 of onboarding a new app onto SparkPay." That sequencing distinguishes it cleanly from create_app_kit and the plan-mutation siblings.

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?

Explicitly says when to use it (onboarding a new app) and routes the agent forward: "Pass the answers to create_app_kit next." It lacks a when-not clause (e.g., don't run for an app that already exists), so it falls just short of 5.

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