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

While the annotations cover the safety (readOnlyHint: true), the description adds crucial behavioral context regarding data security. It explicitly states it only provides 'Metadata/approved fields' and guarantees 'no secrets, contacts or original files,' which is valuable data handling disclosure.

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 definition uses two highly concentrated sentences. The first identifies the action and resource, and the second defines the data limitations. It is efficient without being repetitive.

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?

For a read-only metadata lookup, the description is quite complete. It clearly defines the scope of the data returned (authorized status, approved fields) and the scope of the data excluded (secrets, contacts), which is a strong measure of completeness.

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 input schema coverage is 0%, meaning no semantic information is provided in the structured data. The description, however, focuses entirely on the operation and data constraints and offers zero explanation or guidance for the parameters (limit, query, offset), making it ineffective for this dimension.

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 purpose is crystal clear, stating it reads the Paychex integration status. By naming the specific vendor, it naturally distinguishes itself from the host of other similar tools in the sibling list (e.g., get_adp_integration_status).

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 tool's usage is implied by its name and the context of sibling tools, but the description does not provide explicit guidelines (when to use vs. when to use a different integration status checker). This requires the agent to infer usage.

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