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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile needs no restating. The description adds real behavioral context beyond them: fiscal_year controls which budgetary values are reported rather than which rows appear, and the default fiscal year may lag the current one, so the caller should inspect the returned fy. It stops short of describing pagination or result-set size behavior.

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-loaded with what the tool returns, then one short paragraph per parameter nuance. No filler, no restatement of the title, and the most error-prone detail (fiscal_year affecting values, not rows) is called out before the low-stakes sort syntax.

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 return values need not be explained, and the annotations cover the safety profile. What remains thin is pagination — with 0% schema coverage and 5 params, an agent gets no signal about how to walk results beyond the default limit of 25.

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 full burden and largely meets it: keyword's match targets (account name or AID), fiscal_year's precise semantics and fallback, and a concrete sort dict example with field and direction. The gap is page and limit, which get no mention beyond schema defaults (25 per page).

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 — 'List Treasury federal accounts (TAS) with budgetary resources' — which is far more precise than the tool name alone. It does not explicitly name the sibling that serves the agency-scoped or single-account case (get_agency_federal_accounts, get_federal_account_detail), so differentiation is left to inference.

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 presence of a keyword filter and the fiscal_year caveat, but there is no explicit when-to-use vs. when-to-use-an-alternative guidance. An agent must infer from sibling names that get_federal_account_detail is the drill-down path and get_agency_federal_accounts the agency-scoped path.

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