get_seem_general

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description contributes nothing beyond the annotation-implied 'safe read' semantics: no note on coverage of SEEM data, staleness, or auth/rate constraints that would matter for an open-world lookup.

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?

A single short phrase with no wasted words, but it is under-specified rather than genuinely concise. There is no structure or front-loaded qualifier beyond the resource name.

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?

Output schema exists, so return values need not be described, and a one-parameter read tool has a low burden. Still, the tool's distinctive concept ('general' versus 'demographic' versus batch) is never explained, leaving the agent to guess scope.

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?

Only one parameter and schema coverage is 100%, so the schema fully documents dtxsid as the DSSTox Substance Identifier. The description adds no format or resolution guidance, which is the expected baseline when the schema already does the work.

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 (Fetch) and resource (SEEM general exposure predictions), but 'general' is undefined jargon and the description does nothing to distinguish this from close siblings like get_seem_demographic or batch_get_seem_general. An agent cannot tell from the text how 'general' differs from 'demographic'.

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?

No when-to-use guidance, no exclusions, and no mention of the batch or demographic alternatives despite them being immediate siblings. The agent must infer the single-vs-batch and general-vs-demographic choice entirely on its own.

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