run_analysis_workflow

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does well: it discloses side effects (writes results into data/output when requested), safety behavior (never modifies source data), internal steps (generates workflow_id, plans, executes, validates), and return behavior (structured report).

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 tightly written sentences with no filler. The main action is front-loaded, followed by concrete behavioral details and a safety guarantee. Every sentence earns its place.

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 output schema exists, the description need not detail the report format. It covers the workflow stages, side effects, validation behavior, and data-safety promise. The only notable completeness gap is the ambiguous meaning of file_path and the lack of explicit guidance on when to prefer this workflow over individual sibling tools.

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. It clarifies 'task' as a natural-language analysis task, but 'file_path' is left completely unexplained in both the schema and the description. An agent cannot tell from the description whether file_path is an input path, output path, or something else.

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?

States a specific verb and resource ('Execute the full Architect -> Engineer -> Validator workflow') and clearly differentiates itself from granular sibling tools by presenting itself as the end-to-end orchestrator. The description makes it obvious this is not a single analysis utility but a workflow runner.

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 establishes clear context for use: it is for natural-language analysis tasks that should be planned, executed, validated, and reported as a full workflow. It does not explicitly state when-not-to-use or name alternatives, but the distinction from simpler siblings is strongly implied by the workflow framing.

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