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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), and the description adds genuine value beyond that by disclosing the auth/preview constraint: anonymous access is restricted to synthetic read-only demo data and requires sign-in for real projects. It stops short of describing pagination or result size limits for a list operation.

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 purpose is front-loaded in the first clause, which is good, but the second clause is spliced onto it without punctuation ('for a project Anonymous preview is limited to...'), creating an ambiguous run-on. The content is short but structurally sloppy.

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 simple one-parameter list tool with annotations covering safety and no output schema, the description covers purpose and the notable access restriction. It is nearly complete; only listing behavior (ordering, pagination, empty results) is unaddressed.

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% and there is only one parameter, so the schema fully documents 'project'. The description's phrase 'for a project' merely echoes that parameter without adding format, default, or lookup guidance. Baseline 3 applies when the schema does the heavy lifting.

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 verb (List) and resource (A/B experiments) scoped to a project, so the agent knows exactly what it returns. It does not, however, distinguish itself from siblings like get_experiment, list_projects, or the other experiment CRUD tools.

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?

There is no statement of when to use this tool versus get_experiment (single experiment) or the analytics_* siblings. The only contextual clause is about anonymous preview limits, which is auth context rather than usage routing.

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