list_rule_packs

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

No annotations are provided, so the description carries the full behavioral burden. 'List the available' strongly implies a read-only discovery call, but the description never states there are no side effects, whether it paginates, or an auth requirement, leaving real gaps for an unannotated tool.

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 tight sentences: the first defines the operation and its return fields, the second gives the actionable next step. Nothing is redundant and the purpose leads the text.

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, the description usefully enumerates the returned fields, which compensates well. For a simple zero-param list tool the coverage is nearly complete, though it could note the read-only nature to fully stand in for the missing annotations.

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 tool takes zero parameters, so per the baseline this scores 4. There is nothing for the description to disambiguate at the parameter level, and it commits no errors here.

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 verb and resource ('List the available compliance rule packs') and enumerates exactly what each entry exposes (platform, market, version, update date, rule count). This lets an agent distinguish it from siblings like search_rules or suggest_rewrite without inspecting schemas.

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?

Explicitly tells the agent when to use it ('to discover which platforms are supported') and names the follow-up call (audit_listing), routing the agent correctly. It lacks explicit when-not guidance or mention of the other siblings, so it stops just 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.