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

Annotations already cover read-only, idempotent, non-destructive and open-world traits, so the bar is lower; the description still adds real value by disclosing the return shape (per-provider rates with statewide min/median/max, effective date, earlier published semesters) and a coverage boundary (community hospitals absent). It does not mention pagination limits or rate limits, but the limit parameter is documented in the schema.

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?

Two sentences, front-loaded with the source and covered schedules, with the critical exclusion in the same parenthesis. The long enumeration is dense but each item maps to a real enum value, so nothing is wasted; it could be tightened slightly.

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 an output schema present and full parameter documentation, the description need only carry scope and boundaries, and it does — including the important negative case. The only gap is not pointing to fl_rate_periods for discovering valid periods, which matters because the period parameter accepts several free-form formats.

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 coverage is 100%, so baseline is 3; the description earns an extra point by glossing every enum value in prose (FQHC, RHC, provider-based RHC, nursing home per diem, SNU, swing bed, hospice level of care vs. room and board) and by clarifying that the "hospital" schedule is a 3-hospital state mental health per diem table only. It adds some interpretation the enum labels alone do not convey.

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?

Names a specific resource (Florida Medicaid reimbursement rate schedules from AHCA) and enumerates exactly which schedules are included, plus explicitly rules out community hospitals (paid by DRG/EAPG). An agent can distinguish this from fl_fqhc_rates or fl_rate_periods purely from the description.

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 scope statement (look up per-provider rates for a given schedule/period), and the DRG/EAPG exclusion prevents some wrong calls. However, it never names the obvious siblings fl_fqhc_rates or fl_rate_periods, so the agent gets no explicit routing rule for overlapping FQHC lookups or period discovery.

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