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

Since no annotations are provided, the description carries the full transparency burden. It does disclose a useful behavioral trait — nearest-neighbour matching over summary embeddings — which implies ranking by similarity and differentiates the tool from search. However, it does not mention return ordering, whether the query episode is excluded, or how missing/invalid episode IDs are handled.

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 two concise sentences, each carrying distinct information: the purpose first, then the algorithmic mechanism. There is no wasted wording, and the embedding detail is relevant and informative.

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 tool with no output schema and no annotations, the description is adequate but not fully complete. It gives enough to attempt a call, but omits what exactly is returned, how results are ordered, and any constraints around the episode_id.

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 needed to compensate for the parameters. It only indirectly maps episode_id to 'a given one' and never explains limit or its behavior. The schema default provides some help, but the description adds minimal semantic value for the parameters.

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 operation ('Find episodes covering similar ground to a given one') and a resource ('episodes'), with the mechanism 'nearest-neighbour over summary embeddings' distinguishing it from keyword search or catalog browsing. This clearly differentiates it from siblings like search_episodes and get_episodes_by even without naming them.

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 gives no explicit guidance on when to prefer this tool over alternatives such as search_episodes or get_episodes_by, and it states no exclusions or prerequisites. An agent must infer the intended use case from the title and the embedding mention.

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