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

With no annotations, the description carries the full behavioral burden. It implicitly frames a read-only detail fetch and does list the data categories returned, which is useful, but it omits error behavior for unknown slug/domain, any auth or rate-limit notes, and whether sections can be absent.

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 what the tool returns and followed by the identifier syntax. The long comma-separated field list is dense but every item is a distinct returned section, so little is wasted.

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?

There is no output schema, so the description must describe the return payload, and it does so fairly thoroughly (Trust Score parts, stars, domain dates, price list, counters, links). Only edge cases such as not-found behavior are missing for a simple single-parameter read tool.

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 100% with the terse label "Slug or domain", so the baseline is 3. The description goes beyond that by giving concrete format examples for both accepted identifier forms (prm4u-com vs prm4u.com), which meaningfully reduces invocation ambiguity.

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 names a specific resource (one SMM panel) and enumerates the measured figures returned, making it clearly the single-panel detail lookup rather than a search. It never explicitly contrasts itself with siblings like search_panels or compare_panels, so sibling differentiation is left implicit.

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?

"Pass the slug (prm4u-com) or the domain (prm4u.com)" tells the agent how to invoke it, but there is no statement of when to use this instead of search_panels or compare_panels, nor what to do when a lookup fails. Usage is implied by the identifier-based framing rather than stated.

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