get_definition

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

No annotations are provided, so the description must cover behavioral traits. It only states 'look up,' implying a read-only operation, but it does not disclose any side effects, permissions, error handling, or behavior when the definition is not found.

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 very concise, consisting of two sentences and a brief argument list. Every sentence provides essential information without redundancy or excess.

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?

Despite being a simple tool, the description lacks information about return values, error cases, or behavior when no result is found. Since no output schema exists, the description should provide this context to be fully complete.

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?

The schema has 0% description coverage, but the tool description compensates by defining the parameter term_or_id with examples ('FRD-ACV') and acceptable value types (ID, term, alt spelling). This adds significant meaning beyond the bare schema.

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 it looks up a FedRAMP Definition by ID, term, or alt name. The verb 'look up' and resource 'FedRAMP Definition' are specific, and the input types are explicitly listed, distinguishing it from sibling tools like search or list operations.

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 implies usage when one needs a definition by a known identifier or term, but it does not explicitly state when to use this tool versus alternatives like get_frr_section or search. No exclusions or alternative suggestions are provided.

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