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

Goes well beyond the readOnly/idempotent annotations by disclosing provenance ('ValuEdge Dividend Hub'), boundedness ('bounded source-observed events'), and the crucial caveat that dates/payouts appear only if upstream provides them. It also forbids inference of declarations, dividend-capture opportunities, or projected cash payments — material behavioral context an agent could not get from annotations.

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?

Front-loads the trigger condition, then follows with return shape and caveats in a logical order with no filler. The final prohibition sentence packs three separate warnings, which slightly compresses readability but every clause is load-bearing.

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?

An output schema exists, so field-level return documentation is unnecessary, and the data-semantics caveats are strong. However, with four parameters at 0% schema description coverage, the definition leaves an agent guessing how to scope a request by date range or result count.

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 must carry parameter meaning, but it never mentions from_date, to_date, or limit, nor the date-format or max-50 bound. Only 'ticker' is indirectly implied by 'a stock's' dividend calendar; the filtering parameters are entirely undocumented.

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 ('stock's dividend calendar') and enumerates exactly what it returns: ex-date, payment date, per-share amount and market-data source. It is clearly the market-data counterpart to the user-owned sibling get_my_dividend_tracker, since the description anchors on 'a stock's' rather than 'my' holdings.

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?

Gives an explicit trigger list ('when the user asks for... historical payouts, ex-dividend dates, upcoming known payment dates, or dividend per share'), which is a clear usage context. It does not explicitly exclude the sibling get_my_dividend_tracker (user's own holdings), so the routing decision is left partly implicit.

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