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

With no annotations, the description carries the full burden and it does disclose return content well: episode context, frameworks, verbatim quotes with timestamps, links, and conditional YouTube video results. It does not mention permissions, result limits beyond the schema, or ordering behavior, leaving a small gap for a zero-annotation tool.

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: the first front-loads what the tool does and what it returns, the second front-loads the usage trigger. No filler and nothing redundant.

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 returns, and it does so concretely (quotes with timestamps, links, YouTube video when available). Combined with the usage clause, an agent has everything needed to invoke it correctly.

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 100%, so both 'query' (topic, guest, company, or idea) and 'limit' (default 6, max 20) are already fully documented. The description adds no additional meaning about parameter behavior, so the baseline 3 applies.

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 (Search) and a precisely scoped resource (every episode of The LeanScale Podcast), plus the audience of guests. However, a very close sibling (search_leanscale) exists and the description never routes between the two, so the podcast-vs-general-search distinction is left implicit rather than stated.

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 closing clause 'Use when someone wants an operator's opinion, a real story, or a quotable line rather than a methodology' gives clear situational guidance and implicitly steers away from methodology-oriented siblings like get_playbook. It stops short of naming alternatives or explicit exclusions, so it is a strong but not fully complete routing statement.

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