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

With no annotations, the description carries the burden and does disclose useful behavior: quarter defaults to latest and null values are returned where NCUA data is absent. It does not state the read-only nature, auth requirements, or any rate/pagination behavior, so it adds some value but not a full behavioral picture.

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?

A single front-loaded sentence that leads with what it returns and appends the null-handling caveat. Slightly dense in the 'every computed metric with its plain-language definition available through list_fields' clause, but no wasted sentences.

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 no output schema and no annotations, the description does the work of describing the return contents (attributes, size, metrics with definitions) and null semantics. The main gap is the unexplained required cu_number, otherwise sufficient for a read-style profile fetch.

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 compensate. It usefully clarifies the quarter parameter ('default latest'), explaining that omission yields the most recent quarter, but gives no meaning for the required cu_number beyond the implicit 'one credit union'.

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 resource and scope: a full profile (attributes, size, all computed metrics) for exactly one credit union and one quarter. This clearly separates it from siblings like metric_series or peer_compare, though it never explicitly names an alternative to route the agent away from.

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?

No when-to-use guidance, no prerequisites, and no comparison against alternatives such as query_metrics or peer_compare. The scope ('one credit union for one quarter') loosely implies its purpose, but the agent is left to infer when this tool is the right choice.

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