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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds that the tool returns a package 'and explains why', revealing an explanation behavior not inferred from annotations. The read-only statement reinforces the annotation without contradiction. No additional side effects or constraints are disclosed, but the existing annotation coverage is high.

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 sentences, front-loaded with inputs and output. The second sentence adds a crucial behavioral caveat (read-only) without redundancy. Every word earns its place; no filler or unnecessary details.

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 5 parameters (all optional) and no output schema, the description gives only a vague output description ('returns the appropriate package and explains why'). Missing details: output format, data types, whether partial inputs are valid, error handling, and how this complements sibling tools like get_llc_options. For a tool with this complexity, the description is incomplete.

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 100%, so all parameters are documented in the schema. The description groups four boolean service parameters as 'which services the user needs', which adds no new meaning beyond the schema. The parameter names are in Spanish, but the schema provides English-like descriptions. The description does not clarify parameter relationships, defaults, or optionality—baseline of 3 is appropriate.

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 the verb 'returns' and the resource 'appropriate package', naming the inputs (state, membership count, services) and output (package with explanation). It is easily distinguishable from sibling tools like create_llc_lead (creation) or get_llc_options (listing options), fulfilling a specific recommendation role.

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 explains when to use the tool: when you have state, multi-member flag, and service needs. It adds a clear read-only note. However, it does not explicitly mention when not to use it or suggest alternatives (e.g., get_llc_options for a list of all packages), missing an opportunity to guide agent decision-making.

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