get_session_report

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

With no annotations, the description carries the transparency burden. It discloses prerequisites ('Analytics must be generated first') and return contents ('transcript highlights, task performance, key quotes, and AI-generated observations'). It does not mention failure modes, auth requirements, or side effects, but for a read-only report retrieval, the disclosed context is strong.

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 well-structured, front-loaded with purpose, and uses concise paragraphs. The prerequisite is clearly flagged, the return value is summarized, and the args are listed cleanly. Every sentence earns its place 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?

Given the presence of an output schema, the description adequately covers prerequisites, usage context, and high-level return content. It also mentions the required ID retrieval flow. For a tool with three parameters and clear dependencies, this is a complete and self-sufficient description.

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 must compensate. However, the 'Args' section only repeats 'The unique identifier of...' for each parameter, adding no real semantic value beyond the parameter names. The hint to call get_participants first does provide some practical ID guidance, but it is insufficient for low coverage.

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 'Get the AI analysis report for a single participant's session,' which is a specific verb and resource with a clear singular scope. It differentiates from siblings like get_sessions_report and get_participant_sessions_report by emphasizing 'single participant's session.'

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 explicitly states when to use the tool: 'Use this when investigating one specific participant's performance, responses, or behavior in detail.' It also provides important prerequisites (generate_analytics, poll get_analytics_status, call get_participants), but does not explicitly name alternatives or when-not-to-use scenarios, so it falls 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.