check_dataset_metrics

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

No annotations are provided, so the description must fully disclose behavior. It only says 'get latest metrics' without details on whether the operation is read-only, what metrics are included, or any side effects. This is insufficient for understanding the tool's behavior.

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 extremely concise, consisting of a single sentence. While it is not verbose, it could benefit from a bit more context without becoming overly long. The structure is clean and front-loaded.

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?

Given that there are 2 parameters, no output schema, and no annotations, the description is too sparse. It does not explain the type of metrics returned, how to interpret them, or any potential edge cases, leaving significant gaps for an agent.

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%, with both parameters 'project_key' and 'dataset_name' clearly described in the schema. The tool's description adds no additional meaning beyond the schema, so a baseline score of 3 is 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?

The description states 'Get latest dataset metrics', which clearly indicates it retrieves metrics for a dataset. However, it does not distinguish from similar sibling tools like 'get_dataset_info' or 'inspect_dataset_schema', leaving ambiguity about what 'metrics' specifically means.

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 explicit guidance on when to use this tool over alternatives. The description implies its usage for fetching metrics but fails to provide context about appropriate scenarios or when to use other tools like 'get_dataset_info'.

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