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sanhao-global-experts

complaint-reply-tool

Turn expertise into output. This complaint reply tool prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are supplied, so the description carries the full behavioral burden, yet it discloses nothing about execution: no indication whether a complaint text is passed in, whether state is mutated, what the output looks like, or what permissions are involved. The mention of an included "usage guide and edge-case handling" describes packaged marketing content, not the tool's runtime behavior.

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

Conciseness2/5

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

Only three sentences, but the lead sentence "Turn expertise into output" and the "in minutes" claim carry no operational information. The one substantive phrase (complaint reply for restaurant/brand teams) is buried behind marketing framing rather than front-loaded.

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

Completeness1/5

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

With no annotations, no output schema, and a single undocumented-behavior parameter, the description must explain what a caller gets back and what the tool produces; instead it is a product blurb. An agent cannot tell from this what a call does or what it will receive.

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

Parameters3/5

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

The tool has a single optional parameter with 100% schema description coverage, so the schema already explains "query" as an optional scoping input. The description adds nothing about it, but baseline 3 applies when the schema does the documentation work.

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

Purpose2/5

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

The description restates the name ("complaint reply tool") and frames itself as a "prompt pack" rather than stating what the tool actually does with its input. It names an audience (restaurant and brand teams) but no verb+resource outcome, and gives no basis for choosing it over the many complaint-* siblings such as complaint-write-tool, complaint-gen-tool, or complaint-polish-tool.

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?

There is no statement of when to use this tool, when not to, or which sibling handles adjacent tasks like sorting, auditing, or summarizing complaints. "Produce professional results in minutes" is promotional, not guidance an agent can act on.

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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