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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=false), and the description adds genuinely non-derivable behavior: idempotency on duplicate names and the shape of what comes back (tracking snippet, API example). It does not disclose auth requirements or side effects on existing projects beyond the idempotent case.

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 short sentences, front-loaded with the core action and followed by the two facts an agent most needs (return payload and idempotency). No filler or restatement of the name.

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?

With no output schema, the description usefully names the return payload and the idempotency behavior, which covers the main gaps for a 2-param creation tool. Minor omissions remain around auth/permission needs and what happens to non-name fields on a name collision.

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 100%, so both parameters (name format constraints, allowed_origins default '*') are fully documented in the schema itself. The description adds no parameter-level detail beyond that, which is the expected baseline when the schema does the work.

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 verb+resource ('Create a new Agent Analytics project') and adds the return payload, making the operation unambiguous against siblings like list_projects or get_project_context. It stops short of explicitly naming which sibling to use instead when a project already exists.

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?

Usage is only implied — an agent can infer this is the setup step before experiments or tracking, but there is no explicit when-to-use, no prerequisites (e.g. auth/account requirements), and no routing to alternatives such as list_projects for existing projects.

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