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

No annotations are provided, so the description carries the burden, and it does disclose what comes back (Sanskrit names and chapter counts) for a fixed seven-item list, implying no pagination or side effects. It stops short of stating explicitly that this is a read-only, parameterless, static reference call.

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?

A single sentence with no filler; the resource and the return content are both front-loaded. Nothing could be cut without losing information.

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 parameterless reference lookup with no output schema, the description says enough: what is listed, how many, and which attributes each entry carries. An agent can call it and know what to expect without further documentation.

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 there is nothing for the description to disambiguate; baseline applies. The mention of 'Sanskrit names and chapter counts' describes output fields rather than inputs, which is harmless but not parameter semantics.

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 (list) and resource (kandas of the Ramayana), plus scope (seven of them) and the content of each entry (Sanskrit name, chapter count). It is clearly distinguishable from the verse/sarga siblings, which target individual units rather than the top-level enumeration.

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 implies this is the top-level enumeration from which you'd descend into get_sarga or get_verse, but it never says so explicitly and names no alternatives or when-not-to-use conditions. Usage is inferable but not guided.

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