get_trace_analysis

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

With no annotations, the description fully carries the behavioral disclosure burden. It explicitly discloses that the tool returns a runbook rather than performing the analysis itself, and that the agent must download the trace and run CLI commands locally—a key trait not inferable from the schema. This goes beyond typical descriptions.

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 dense but every sentence carries information: purpose, runbook protocol, parameter modes, and local execution. It is front-loaded with the main usage, though the length is somewhat high; a slightly tighter structure could improve scannability.

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 no output schema and no annotations, the description is exceptionally complete: it explains what the tool returns (runbook), the CLI protocol steps, how to get hosted trace URLs, and the required local execution workflow. It covers both usage modes, leaving little ambiguity for an agent.

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?

Although schema coverage is 100%, the description adds meaningful semantics: it clarifies that testcase_id is the Playwright pw_test_id, explains how projectId + testcase_id combine to generate a download URL, and notes that testrun_id optionally scopes the request. This helps the agent understand the relationships and intended usage.

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 a specific verb ('Debug') and resource ('failing Playwright test from its trace.zip'), and differentiates from sibling tools by emphasizing the trace.zip/CLI runbook approach. It also explains the two modes (with/without IDs), making its purpose unambiguous.

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?

Provides clear usage context: when to pass IDs to receive a download URL and when to omit them for local trace files. It also specifies that analysis runs locally, guiding the agent's workflow. However, it does not explicitly name alternative tools or state when not to use this tool, 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.