Scopus Subject Classifications

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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior, so safety is covered. The description adds genuinely useful context beyond that: it returns raw Elsevier JSON and that the endpoint is public and needs no API key, which affects how the agent should call it.

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?

Four short sentences, front-loaded with purpose, then return format, usage, and auth note; no filler. The return-content sentence slightly overlaps the output schema, but it still conveys the raw JSON format, so only minor redundancy.

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?

With an output schema present and rich annotations, the description only needs to establish purpose, filtering behavior, and auth expectations, all of which it does. Nothing an agent needs for correct invocation is missing for this simple, zero-required-parameter lookup.

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%, so each of the five optional filter parameters is already documented with examples and matching semantics. The description adds no parameter-level detail (syntax, matching rules) beyond what the schema provides, so the baseline of 3 applies.

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 and resource ('Retrieve or filter Scopus subject classifications') and the resource is unique among the siblings, which are search/retrieval tools for other entity types. An agent can immediately tell this is the taxonomy lookup endpoint.

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?

Explicitly says 'Omit filters to list all classifications,' which tells the agent how to get the full list versus a filtered subset. There are no overlapping siblings to route against and no exclusion cases are needed, so context is clear even without naming alternatives.

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