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

No annotations exist, so the description carries the burden; it does disclose the return shape (an A-F grade broken into five named pillars), which is genuinely useful context. It omits, however, the data window semantics, whether a bot needs minimum traffic to be graded, and what happens for a bot with sparse data.

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?

One front-loaded sentence with no filler; the pillar list earns its space because it previews the response structure. Slightly dense, but nothing is padded.

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?

No output schema and no annotations mean the description is the only documentation, and it leaves the two parameters completely unexplained and says nothing about data prerequisites or the grading methodology. Adequate as a one-line pitch, insufficient for correct invocation.

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% and the description mentions neither parameter. The critical one, 'days' (default 30), is never explained as the lookback window, so the agent cannot tell what time horizon the grade covers or whether the pillars are weighted over that window.

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?

Uses a specific verb ('Audit') plus a named artifact ('A-F letter grade') and enumerates the five pillars, so the agent knows exactly what comes back. It never names or contrasts the overlapping siblings (analyze_chatbot, get_feedback_and_csat, get_campaign_analytics), so differentiation is left to inference.

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?

There is no 'use this when' sentence, no exclusion, and no mention of when to prefer this over analyze_chatbot or get_feedback_and_csat, whose CSAT metric overlaps one of the five pillars. The audit framing only implies usage.

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