togoid_getDataset

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

No annotations are provided, but the description discloses the retrieval nature and the exact return structure. It does not mention side effects, but as a read operation, this is sufficient. No contradiction with any implicit 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 well-structured with a summary line followed by detailed Args and Returns sections. It is informative without being verbose; every sentence adds value, though the Args section slightly duplicates schema type info.

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 the simple one-parameter tool and the presence of an output schema, the description fully covers what the tool does, how to use it, and what it returns. It includes practical usage tips, making it complete for an AI 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?

The input schema has one parameter with 0% coverage, but the description adds comprehensive meaning: it defines 'dataset' as a key, provides multiple concrete examples ('uniprot', 'ncbigene', etc.), and clarifies usage. This goes well beyond the schema.

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 'get configuration for a specific database in TogoID,' specifying the verb, resource, and scope. It distinguishes from siblings like togoid_getAllDataset and togoid_getDescription by focusing on a single dataset's configuration.

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 provides explicit usage context via Args and Returns sections, including examples and hints for ID validation and testing with countId. While no when-not-to-use is stated, the sibling contrast is implied, making usage guidance clear.

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