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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false), so the bar is lower. The description still adds real behavioral value by declaring the exact return shape (id, name, item count) and the negative constraint that items are excluded, though it says nothing about pagination or result 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?

Two short sentences with zero filler; scope comes first and the return-content constraint immediately follows. Every clause 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?

With a simple one-optional-parameter read tool, annotations covering safety, and a description that explains the return contents in lieu of an output schema, an agent has enough to call this correctly. Pagination/result-limit behavior for a list endpoint is the only notable omission.

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 single 'workspace' parameter has 100% schema description coverage, including the personal-token vs workspace-API-key semantics, so the schema carries the burden. The description adds no parameter-level detail beyond the phrase 'active workspace', making the baseline 3 appropriate.

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 (Lists) and resource (datasets) scoped to the active workspace, and explicitly declares the return granularity ('summaries... items are not included'). That last clause implicitly separates it from caliper_datasets_get, but no sibling is named, so it stops short of full differentiation.

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?

Use for enumerating datasets is clearly implied by 'Lists datasets in the active workspace', but there is no explicit when-to-use guidance and no routing to alternatives such as caliper_datasets_get for full item content or caliper_datasets_create for adding a dataset.

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