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. It usefully discloses that prices are public, denominated in USD per 1,000 units, and pre-sorted cheapest first, which is meaningful invocation context. It omits any mention of authentication requirements, result shape, or how paging behaves across the page/limit params.

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, tightly front-loaded: the highest-value semantics (currency, unit, sort order) come first, then the filter facets. There is no filler, though the filter sentence packs three distinct facets into one clause without much structure.

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 6-parameter read tool with no annotations and no output schema, the description covers the core 'what you get' (public USD/1,000 price list, sorted) but leaves notable gaps: the return shape of a service entry, how pagination interacts with defaults, and the network/platform naming mismatch. Adequate but not complete.

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 0%, so the description must compensate, and it partly does: it clarifies the 'kind' facet with concrete examples (followers, likes, views) and mentions a text query. But it says 'network' while the schema exposes 'platform', an ambiguous mapping, and it says nothing about page or limit despite both being present with constraints.

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 and its semantics: 'the public price list of a panel in US dollars per 1,000, cheapest network first.' An agent can tell this returns a panel's service catalog with prices. It does not explicitly differentiate itself from the similarly named sibling search_services, leaving the list-vs-search distinction 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?

The phrase 'Filter by network, kind ... or a text query' implies the browsing/enumeration use case and shows the available narrowing options. However, it never states when to prefer this over search_services or search_panels, so the agent must infer the boundary between 'list a panel's catalog' and 'search for a specific service'.

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