ktalk_list_recordings

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

Since no annotations are present, the description carries the full burden. It does disclose useful behavior: pagination via 'page_token from previous response', an HTTP 400 rejection for top > 100, and the markdown vs JSON output option via the 'format' parameter. However, it does not state whether this is read-only, authentication requirements, or possible errors beyond the HTTP 400. Some behavioral context is present, but significant gaps remain.

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 compact and front-loaded: a single-purpose statement followed by a terse, well-structured parameter list. Every sentence adds information; no redundancy, no filler. The arg list uses clear formatting with name, type, default, and inline constraints, making it easy to scan.

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?

The tool has an output schema (flagged true), so return-value documentation is handled externally. However, the description entirely lacks usage context: when to use it instead of ktalk_get_recording/ktalk_download_recording, whether it requires prior auth, or how pagination cycles work beyond a token mention. It also gives no hint about the returned payload (metadata vs transcripts). These omissions make it incomplete for an agent deciding when to call 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?

The schema provides zero descriptions (0% coverage), so the description is the sole source of parameter meaning. It fully explains each of the 7 arguments with types, examples (ISO 8601 date format), allowed values (sort orders, output formats), and constraints (max page size 100). This completely compensates for the empty schema and adds operational detail.

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 opens with a clear, specific purpose: 'List available KTalk conference recordings.' The verb 'List' and resource 'conference recordings' make the operation unambiguous notification. Though the sibling tools include get and download variants, the name and first line already establish which action this covers, so no further clarification is needed.

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 provides no guidance on when to use this tool over its siblings (e.g., 'use for browsing metadata; use ktalk_get_recording for details'). It does not mention prerequisites, relationships to other calls, or typical filter combinations. The agent must infer usage solely from the function name and parameters, which is insufficient.

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