get_fitness_assessment

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

With no annotations, the description carries the full behavioral burden; it discloses that data is periodic rather than continuous, which is genuinely useful context beyond structured fields. However, it says nothing about permissions, per-assessment granularity, units, or how results are returned, so the read-side behavioral profile is only partially covered.

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?

Three short lines with no filler, and the domain list is front-loaded. Slightly terse for a schema with four undocumented parameters, but nothing is wasted.

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 this is a read tool with low risk. Still, the description omits that a client_id is mandatory and how the date-range parameters behave, which an agent needs in order to form a correct call.

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% for 4 parameters, so the description must compensate — and it partially does by enumerating the five assessment types that correspond to the assessment_type enum. It says nothing about client_id (the sole required param) or how start_date/end_date scope the readings, leaving a real gap.

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 names the resource precisely (periodic clinical/assessment-style readings) and enumerates the covered domains — bone density, body composition, balance, movement quality, muscle strength — which maps directly onto the assessment_type enum. It also implicitly separates itself from continuous-metric siblings, though it never names them.

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?

The parenthetical '(not continuous) measurements' gives an implied routing rule against continuous siblings like get_cardio_metrics or get_exercise_data, but no alternative tool is named and no when-not-to-use condition is stated. Usage is inferable rather than explicit.

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