Read the full auto-generated transcript of one conference session by (part of) its title. Use search_conference_transcripts or get_conference_agenda first to find session titles.
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | Session title or a distinctive part of it, e.g. 'Opening Keynote' or 'TOP500' |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses that transcripts are auto-generated and that matching is by partial title, which is useful. However, it doesn't mention behavior for multiple matches, output format, or potential large response size.
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, no waste. The first states purpose, the second gives usage guidance. Perfectly front-loaded and efficient.
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 single-parameter tool with no output schema, the description covers the key aspects: what it returns, how to identify the session, and the preparatory step. It could mention return format, but that's a minor gap given the tool's simplicity.
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 already provides 100% coverage with a clear parameter description and examples. The description adds redundant detail about partial title matching, but no extra semantic beyond the schema.
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 clearly states the tool reads the full auto-generated transcript of one conference session by title. This distinguishes it from siblings like search_conference_transcripts (searching) and get_conference_agenda (schedule).
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?
It explicitly tells the agent to use search_conference_transcripts or get_conference_agenda first to find session titles, providing a clear workflow. It lacks explicit when-not-to-use conditions, but the context is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action: company info, blog post retrieval, listing, searching, and conference agenda/session retrieval. Potential overlap between search and get tools is mitigated by explicit guidance in descriptions (e.g., get_conference_session tells you to use search first).
Most names follow a clear verb_noun pattern (get_, list_, search_), but 'about_radixia' breaks the pattern as a noun phrase. Overall still readable and consistent in snake_case.
8 tools is well-scoped for a blog + conference content server. Each tool serves a distinct purpose without redundancy or bloat.
The surface covers the read-only content domain comprehensively: blog posts (list, get, search), tags, conference agenda and transcripts (get, search), plus company info. No obvious missing operations for the apparent scope.
