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

Annotations already cover the safety profile (read-only, non-destructive, idempotent, closed-world). The description adds behavioral context beyond annotations by disclosing data coverage start dates per index and that results are returned newest first, which helps the agent set expectations for the result set. It still does not describe pagination or rate limits, but the added context is meaningful.

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 description is compact and front-loaded, starting with the core content returned and following with coverage and ordering constraints. Every phrase contributes useful information without 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?

Given the rich annotations, complete parameter schema, and absence of an output schema, the description supplies the key return-field summary, index coverage, and ordering. An agent has enough context to call the tool correctly without needing further explanation.

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 the schema already documents all four parameters including defaults and filters. The description only loosely touches on the index parameter by naming sp500 and ndx coverage, adding no syntax or format details beyond what the schema provides; baseline 3 is appropriate.

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 clearly states the resource (constituent changes) and the fields returned (effective date, company added, company removed, reason), with data coverage for sp500 and ndx and sort order. It lacks explicit differentiation from sibling tools like get_latest or annual_returns, so it is clear but not sibling-aware.

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?

It provides useful context about data coverage windows (sp500 from 2016, ndx from 2020) and ordering (newest first), which implies when the tool is useful. However, it does not state when to use this tool versus alternatives such as get_latest or get_dataset, so usage remains implied rather than explicit.

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