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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only says 'Get', implying a read-only operation, but does not mention authentication, rate limits, error conditions, pagination, or any side effects. For a tool with no annotations, this is a significant gap.

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 a single, efficient sentence that front-loads the verb and resource and includes a relevant example. Every word adds value, with no redundancy or filler.

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 get tool with an output schema, the description is adequate but not exhaustive. It explains the core purpose (status history) and gives an example, but does not clarify what statuses are included or any edge cases. Given the output schema likely covers return details, this is a reasonable score.

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 input schema has 100% description coverage for both parameters (dataset_id and api_key), so the schema itself documents them adequately. The tool description adds no extra parameter semantics beyond what the schema already provides, which meets the baseline for high coverage.

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 clearly states the tool's action (get) and resource (dataset status history), and the phrase 'status history' plus 'over time' distinguishes it from a simple current-status lookup. However, it does not explicitly name a sibling tool to contrast with, so it is clear but not fully differentiated.

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 implies when to use it (to track enrichment progress over time) but provides no explicit guidance on when not to use it or what alternative tools (e.g., get_dataset, get_job_status) are better suited. The context is clear but lacks exclusions.

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