repo_rate_hist

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

Annotations already cover readOnly/idempotent/openWorld, so the description earns credit for adding the operational constraint that start and end must fall within one month, plus the pandas.DataFrame return type. It omits auth, rate-limit, and pagination behavior, keeping it short of a 5.

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 resource name and source link are front-loaded, and the body is short. The one-month constraint is duplicated across both parameters, a minor redundancy, but nothing is bloated.

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 no output schema and two parameters, the description should specify the return shape more concretely; it only says the return is repo fixing-rate history as a DataFrame, without naming columns or granularity. The calling constraints are otherwise sufficient.

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%, so the description carries the parameter burden. It documents both start_date and end_date and the one-month span limit, but never states the expected date format (YYYYMMDD), which is only inferable from the schema defaults.

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 names a specific source (CFETS/National Interbank Funding Center) and resource (repo fixing rate historical data), which clearly identifies what the tool returns. It is well distinguished from the mass of macro tools, but it never contrasts itself with the obvious sibling repo_rate_query.

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?

Usage is implied by the source reference and the one-month window constraint on the date range, giving the agent a workable condition for calling it. However, there is no explicit when-to-use guidance and no mention of the close sibling repo_rate_query, so routing must be inferred.

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