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

Annotations declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, so the agent already knows this is a non-read, non-destructive mutation without idempotency. The description adds context about the 'evaluations group' and the resource scoping via entityId, but does not explicitly state side effects beyond creation (e.g., whether creation is isolated until items are added, or whether the set is immediately usable). Since annotations carry the core safety profile, the additional context is useful but limited — a 3 is appropriate.

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 dense but efficient: the core definition and scope constraint are front-loaded in the first sentence, followed by the workflow loop and a conditional documentation pointer. The three sentences each earn their place. It loses one point only because the workflow enumeration is a touch long relative to the simple create action, though the detail is genuinely valuable for correct sequencing.

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 create tool with a full 100%-coverage schema, an output schema, and annotations covering the safety profile, the description supplies what is missing: the scoping rule, the sequencing, and the newcomer pointer to docs. An agent has everything needed to call the tool correctly and understand its place in the evaluation workflow.

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 the schema already documents all five parameters. The description goes further by clarifying entityId as the scoping mechanism tying the set to a single extractor/classifier/splitter, and by framing workspaceId/environment as granted-target constraints (implying get_me validation). It names the resource types the entityId accepts, adding practical meaning beyond the raw schema text.

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 and resource ('Create an evaluation set'), immediately defines its scope constraint (scoped to ONE extractor, classifier, or splitter via entityId), and places it in the evaluations group. It distinguishes the tool from siblings like create_extractor/create_classifier and from list_evaluation_sets, so an agent can tell what this tool does and what it does not.

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 explicitly walks through the end-to-end iteration loop (create set → add items with add_evaluation_items → publish a version → run_evaluation → read metrics with get_evaluation_run), naming the relevant sibling tools. It also gives a conditional usage guide for newcomers: call get_documentation first for the overview and set-authoring details, including specific URLs. This tells the agent when to use the tool and what precedes/follows it.

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