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 beyond those: all inputs are optional, it returns a full framework composite, filters narrow the result, and the call costs $3.00 USDC. This gives the agent a clear behavioral model for a safe read operation.

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 well-structured sentences front-load the use case and output, then cover optional parameters, filtering behavior, and pricing. Every clause earns its place with no filler or repetition.

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?

The description covers when to use, what it returns, what inputs are available, and the cost. Since there is no output schema, a bit more detail about the snapshot structure would be ideal, but an agent has enough to decide whether to call it and how to pass filters.

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 0%, so the description must compensate. It names all four parameters (nist_function, state, system_type, institution_type), calls them optional filters, and explains that omitting them returns the full composite. That adds real meaning beyond bare schema property names, though it does not detail the value formats or semantics of each filter.

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 states a specific purpose: standing up or auditing an AI governance program and getting one signed snapshot across multiple named frameworks. It clearly distinguishes itself from siblings like get_nist_ai_rmf_requirements, get_eu_ai_act_coverage, and get_colorado_ai_act_requirements by advertising an aggregated composite rather than a single framework.

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 explicitly says when to use it: when standing up or auditing an AI governance program and needing one signed snapshot. It does not explicitly state when not to use it or name the individual framework siblings as alternatives, so it stops short of a 5.

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