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

No annotations are provided, so the description carries the full burden. It does disclose the response payload (concepts, series, latest value), which is the key behavioral fact, but says nothing about response size, whether 'latest value' can be stale or missing, or behavior on an invalid code.

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?

Two sentences, zero waste: the return shape is front-loaded and the code-value guidance follows. The enumeration is long but earns its place given 0% schema coverage on an unconstrained string parameter.

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 one required param, no output schema, and no annotations, the description covers what the tool returns and where codes come from — the two things an agent actually needs. Error behavior and result-size expectations are the only notable omissions.

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 0% and the single 'code' parameter is untyped beyond 'string', so the description must compensate — and it does, naming list_topics as the source and enumerating concrete valid codes (inflation, fx, money, rates, ...). What's missing is whether codes are case-sensitive or how to handle unlisted ones.

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 first sentence states a specific resource and return shape: a topic's concepts, their series, and each series' latest value. It implicitly distinguishes itself from list_topics (which supplies the codes) but doesn't explicitly differentiate from get_family or get_series, so it falls short of a 5.

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?

'each [code]... from list_topics' implies the prerequisite lookup step, which is genuinely useful workflow guidance. However, it never says when to choose get_topic over get_family, get_board, get_panel, or get_series, leaving the sibling selection to inference.

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