macro_bank_russia_interest_rate

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description usefully adds the data start date and the return shape (current value in %, pandas.Series), but says nothing about update frequency or freshness of the series.

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 core sentence is front-loaded and efficient, but it is followed by two raw source URLs and docstring-style ':return:'/':rtype:' lines that add clutter rather than agent-facing value. Trimming the CDN URL would tighten it.

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 macro series with no output schema, the description conveys source, range, and return type, which is close to sufficient. It omits how often the data refreshes and whether a single latest value or a full history is returned, which an agent would want for a time-series report tool.

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?

There are zero parameters, so the schema has nothing to document and the description carries no parameter burden. Baseline 4 applies; no parameter-level semantics are needed or missing.

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 resource (Russia interest rate decision report) with its temporal coverage (20030601–present), which cleanly distinguishes it from the ~15 other macro_bank_*_interest_rate siblings. The retrieval verb is implied rather than stated, but the resource and scope are unambiguous.

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 guidance on when to use this versus e.g. macro_bank_usa_interest_rate or macro_china_lpr, and no exclusions or prerequisites. The only routing signal is the resource name itself, leaving usage inference to the agent.

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