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audit_ai_booking_rules

Completely scan both rule families, reconcile totals, flag broad conditions, incomplete rules, exact duplicates and unbounded auto-booking. Never changes a rule.

Input Schema

NameRequiredDescriptionDefault
company_nameNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool is read-only in practice ('Never changes a rule') and describes the kinds of findings it flags, but it omits permissions, scope defaults, cost/rate considerations, and what happens when company_name is omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core action and concluding with the key safety constraint. There is no redundant or filler text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema covers return values, and the description explains the audit behavior and read-only guarantee. However, the undocumented company_name parameter leaves scope ambiguity, which is significant for a tool that can scan and reconcile rule families.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter company_name has 0% schema description coverage and is not mentioned at all in the description. An agent cannot tell from either source whether omitting it audits all companies, the current company, or some other default.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('scan'), a clear resource ('rule families'), and enumerates the audit checks performed. It distinguishes itself from list/describe/get siblings by emphasizing reconciliation and problem-flagging, though it never names an alternative tool explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no when-to-use guidance, no prerequisites, and no alternatives to compare against list_ai_booking_rules, describe_ai_booking_rules, or get_ai_booking_rule. The only usage-adjacent statement is the constraint 'Never changes a rule,' which is useful but not routing guidance.

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

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