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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety and scope profile is covered by structured data. The description does add one genuinely useful behavioral fact beyond the schema: 2027 figures are projected rather than official. It discloses nothing about caching, response size, or currency of the tables, so it is solid but not rich.

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 scope list is front-loaded and every enumerated item corresponds to real coverage, so nothing is padding. The weakness is structural: the entire definition is one ~90-word sentence, which makes it a scannable keyword wall rather than prose an agent can parse quickly.

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 one-parameter, closed-world, read-only lookup with fully documented schema, the description is close to sufficient: an agent knows exactly which data domains are covered. Because there is no output schema, a short note on return shape (flat value table vs. nested by category) would have closed the remaining gap.

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% and the single enum parameter is already documented with the Official/Projected distinction. The description restates the same year values without adding format, defaulting behavior, or fallback guidance for unsupported years. Baseline 3 applies since the schema carries the parameter burden.

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 enumerates the exact datasets returned: 2025-2027 brackets, standard deduction, OBBBA Sec. 70103 Senior Deduction phase-out, 401(k)/SEP/IRA limits, IRMAA tiers, QCD/QLAC caps, RMD Table III factors, and Saver's Match thresholds. This is a highly specific resource statement. It stops short of a 5 because it never frames the tool as a read-only reference lookup as opposed to the sibling calculate_* tools, leaving the boundary implicit.

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?

A clear trigger is given: 'Use this tool whenever a user asks for official 2025, 2026, or projected 2027 ...'. That is explicit activation context. There are no exclusions and no sibling is named as an alternative (e.g., 'for computed liability use simulate_form_1040_and_bracket_room'), which keeps it out of 5 territory.

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