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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful context about the data source (NCUA quarterly call report public data) and cost per call, but does not disclose other behavioral details such as response format, rate limits, or whether the data is aggregated at cohort level.

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 description is concise, front-loaded with the tool's core purpose, and each sentence adds information: metrics, source, use case, and cost. It is slightly less tight than a two-sentence definition, but there is no wasted filler.

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 low-complexity tool with only two parameters and no output schema, the description provides enough context about what the tool returns, the source, and the intended use. It could be strengthened by describing the response shape or clarifying whether charter_type applies to both federal and state credit unions.

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 for the lack of field-level documentation. It mentions grouping 'by asset size,' which loosely maps to asset_size_tier, but it does not explain the meaning of charter_type or clarify how each metric is filtered by these parameters.

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 clearly states that the tool provides credit union financial performance benchmarks, naming specific metrics (capital ratios, net interest margin, loan growth, delinquency rates) and the grouping by asset size. It is clear and specific, though it does not explicitly differentiate itself from the similar sibling get_ncua_credit_union_financials.

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 description indicates the intended audience and context (credit union CFOs, NCUA exams, board reporting), which implies when it might be used. However, it does not provide explicit guidance on when to prefer this tool over alternatives like get_ncua_credit_union_financials or when not to use it.

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