get_compliance_summary

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

No annotations are provided, so the description carries the full burden, but the tool has zero parameters, meaning there is effectively no mutation or side-effect surface to disclose. The description does convey the aggregation scope ('across all areas'), yet it says nothing about whether the result is cached, permission-gated, or time-scoped.

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 short sentences, front-loaded with the purpose. The 'Returns:' line is somewhat redundant given a full output schema exists, costing it the top score.

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?

A zero-parameter read tool with an output schema that documents the return shape needs little prose. The only real gap is the absence of any signal about where this fits relative to the list/detail siblings.

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 defines no parameters, so per the baseline this is a 4. There is nothing param-related for the description to compensate for.

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 — 'Get overall compliance dashboard summary' — and the aggregate framing distinguishes it from the many list_* siblings. It stops short of naming a sibling or scope constraint, so differentiation is inferable rather than explicit.

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 gives no when-to-use guidance, no conditions, and no mention of alternatives among the 20 list/detail siblings. An agent must guess that this is the high-level overview rather than opening one of the list_* tools.

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