get_api_info

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

With no annotations provided, the description bears the full burden. It usefully discloses that the call is free and requires no payment or API key, which is genuine behavioral context. However, it does not describe the response structure or detail — whether it returns a summary list, documentation links, or structured endpoint data — leaving some behavior undisclosed.

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?

Three sentences with no filler. The first sentence front-loads the core purpose and contents, the second gives the use case, and the third handles access requirements. Every sentence contributes distinct information.

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 zero-parameter, no-schema tool, the description covers the essential call context: what data the overview contains, when to call it, and the cost/auth profile. A minor gap is the absence of explicit output format expectation, but for a simple discovery tool this is a low-stakes 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 tool has zero parameters, so the baseline is 4 per the rubric. The schema is trivially complete with no properties, and there is nothing for the description to explain. The description correctly communicates that invoking this tool requires no inputs.

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 a clear verb and resource: 'Get Moltalyzer API overview' with specific contents (endpoints, pricing per call, changelog, rate limits). It clearly distinguishes from the data-fetching siblings by positioning this as the metadata/discovery layer of the API rather than a feed consumer, though it doesn't explicitly name a sibling it is not.

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 instruction 'Use this to discover what tools and data feeds are available' gives a clear positive use case. However, it does not explicitly state when NOT to use it or name alternatives for specific data needs. Given the many get_* siblings, explicit exclusion guidance (e.g., 'for specific datasets, use the corresponding get_* tool') would help an agent route correctly.

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