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priority_audit_from_text

Read-only

Analyzes service request descriptions against their current priority, flagging requests where the urgency in the text doesn't match the assigned priority. Also flags requests whose description is too vague or empty to dispatch a technician on. Returns each flagged request with the issue found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds behavioral specifics: it flags two distinct issue categories and returns 'each flagged request with the issue found', which goes beyond mere annotation restatement. However, it doesn't state filtering scope (all open requests? a date range?) or result limits.

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?

Three sentences, each earning its place: first states the mismatch analysis, second states the vagueness flag, third states the return shape. No redundancy or filler; front-loaded with the primary purpose.

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

Completeness4/5

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

The definition is complete enough for a parameterless read-only audit: it explains what is analyzed, what is flagged, and what is returned. No output schema exists, so return-value explanation in the description is appropriate, but scope constraints (request set, time window) are omitted.

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

Parameters4/5

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

With 0 parameters, the baseline is 4. The description doesn't discuss parameters (none exist), so no negative inference is warranted. The 100% schema coverage is trivially satisfied by an empty schema.

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

Purpose5/5

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

The description uses specific verbs ('analyzes', 'flags', 'returns') on a specific resource ('service request descriptions against their current priority'). It clearly distinguishes itself from sibling audit/diagnostic tools by naming a unique analysis (text-vs-priority mismatch detection).

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

Usage Guidelines4/5

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

It implicitly indicates when to use it (to detect urgency mismatches or vague descriptions before dispatch). No sibling alternatives are named, but the diagnostic nature is clear from the 'analyzes...flagging...' framing. Explicit when-not-to-use is absent.

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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