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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds minimal context (topic-based search) and defaults (max_results=20) beyond annotations, but does not disclose rate limits, pagination, or return format. It neither contradicts annotations nor provides rich behavioral detail.

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 description is concise, starting with a one-sentence purpose statement followed by a structured Args list. Every word earns its place; no fluff or redundant information. It efficiently conveys purpose and parameters.

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 simple two-parameter search tool with no output schema, the description provides the core purpose and parameter semantics. It does not describe return values or pagination, but the tool's purpose ('Search for podcast episodes') implies a list of results. Given the low complexity and annotation coverage, this is mostly complete, though a note on return structure would improve it.

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 0% (bare properties), but the description explicitly documents both parameters via an Args section: 'query' with an example ('AI startups') and 'max_results' with its default. This fully compensates for the schema's lack of descriptions, providing clear meaning and usage for each parameter.

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 uses a specific verb 'Search' and a clear resource 'podcast episodes', with the qualifier 'by topic'. This distinguishes it from sibling tools like imdb_search (movies) and youtube_transcript (transcripts), making its purpose unambiguous.

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 states it searches podcast episodes, providing clear context for when to use it. However, it does not explicitly mention alternatives or when-not-to-use scenarios. The context is clear, but exclusions or sibling differentiation are missing.

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