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

Annotations already declare readOnlyHint and openWorldHint=false, so safety is covered. The description adds real value beyond that: it enumerates what each match contains (title, people, date, topics, summary, matching chapters, Markdown/YouTube links) and warns that summaries are mostly in Chinese – a non-obvious trait affecting how an agent presents results.

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?

Three sentences, front-loaded with capability, followed by return contents and one high-value usage hint. Nothing is redundant with the schema and every sentence carries information an agent would otherwise guess at.

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 compensates by listing the return fields and the full-text/YouTube links. Combined with the language note and the person-query idiom, an agent has enough to select the tool, form queries, and interpret results without further probing.

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%, so it earns a baseline 3, but the description adds meaning beyond the schema: it frames `person` as the key to a specific query pattern and flags the Chinese-language bias of the underlying text, which informs how the agent should phrase queries. It doesn't explain `from`/`to` or `limit` beyond the schema, capping it below 5.

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 resource (podcast/conference episodes) and scopes the domain (AI, investing, crypto, startups, macro). Distinguishes from siblings: get_episode fetches one episode, list_people/list_topics enumerate, while this searches over episodes by keyword/person/topic/date.

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?

Gives a concrete usage scenario – 'Use `person` to answer which podcasts has X appeared on' – which routes the agent to the right parameter for that question shape, and implies `topic` values come from list_topics. It doesn't state exclusions (e.g., use get_episode once you know the ID), so it falls short of explicit when-not guidance.

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