search_entra_podcasts

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

With no annotations provided, the description carries the full burden and does well: it discloses the hybrid fusion algorithm (Reciprocal Rank Fusion), the external dependency (OPENAI_API_KEY), and the nature of responses (excerpts, metadata, deep links). It does not cover fallback behavior when the API key is missing or any error/rate-limit behavior, but for a read-only search tool this is acceptable transparency.

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, no fluff. The first sentence states the action and resource, the second describes the return values and search algorithms, and the third provides configuration guidance. Every sentence contributes, and key information is front-loaded.

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 description covers the tool's purpose, output contents, mode behavior, and dependencies. It lacks a precise output schema (none provided) but gives enough detail that an agent can infer what to expect. It does not explicitly say it searches across all episodes, but that is implied. Overall, it is adequate for the tool's complexity.

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 baseline is 3. The description adds real value by explaining what hybrid mode does (BM25 + semantic via RRF) and the API key requirement for semantic mode. This exceeds simple schema labels and helps the agent choose the right mode.

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 'Search transcripts of the Entra.Chat podcast' — a specific verb and resource. It clearly distinguishes from siblings (get_episode, list_episodes, list_guests, find_tool_mentions) by focusing on cross-transcript search. It also enumerates the output: excerpts, episode metadata, guest names, and timestamped deep links.

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 clarifies when to use this tool: for natural language or keyword search over transcripts. It explains the three modes (hybrid, semantic, keyword) and gives practical guidance — semantic requires OPENAI_API_KEY, keyword works with none. It does not explicitly contrast with sibling tools, but the purpose and sibling names imply the distinction.

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