get_call

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

With no annotations, the description must be self-sufficient. 'Get' makes the read-only nature clear, and specifying that results include transcript and AI analysis sets expectations for what the call returns. It doesn't discuss potential failure modes or payload size, but for a simple retrieval this is adequate.

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?

A single sentence with no filler, front-loaded with the verb and resource, and it adds the key content detail (transcript and AI analysis) without redundancy.

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 low-complexity tool with one well-documented parameter, the definition is complete: it identifies what is returned and where the ID comes from. Since there is no output schema, a bit more precision about the exact shape of 'full details' would justify a 5.

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 input schema already documents the only parameter with 100% coverage, including the useful note that the ID comes from list_calls. The description adds no additional parameter meaning, so the baseline of 3 applies.

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 uses a specific verb ('Get') and resource ('specific call'), and explicitly names the distinguishing content (transcript, AI analysis). This separates it from list_calls, which returns a collection, and from the agent-focused siblings.

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 tool definition makes the workflow clear: the id parameter is described as 'Call ID (from list_calls)', indicating the prerequisite of calling list_calls first. It doesn't explicitly state when not to use it or name alternatives, so it stops short of a 5.

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