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sanhao-global-experts

renovation-quote-guard

Turn expertise into output. This renovation quote guard 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

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet the only concrete fact is that the pack 'includes the complete prompt, usage guide, and edge-case handling' — nothing about what the tool returns, whether it mutates anything, or what the model is expected to do with the result. 'Produce professional results in minutes' is promotional rather than behavioral.

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?

The text is short but front-loaded with a filler tagline ('Turn expertise into output') and a marketing sentence about speed and professionalism; almost none of the words help an agent decide to call the tool or how to call it.

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

Completeness2/5

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

The tool is structurally simple (one optional string, no output schema, no annotations), but the description still fails to say what the tool produces or how the prompt pack is applied, leaving an agent unable to predict the result of a call.

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?

There is a single optional 'query' parameter with 100% schema description coverage, so the schema already defines it; the description adds no meaning about how a query scopes the analysis or what happens when it is omitted. Per the coverage baseline, 3 is the appropriate ceiling with no added value.

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 tool name in marketing terms ('renovation quote guard prompt pack') and asserts it 'helps restaurant and brand teams produce professional results,' but never states a concrete verb+resource operation or what an invocation actually does. It is close to a paraphrase of the title rather than a functional statement, and it gives no basis for distinguishing this tool from siblings such as reno-contract-guard, rent-contract-guard, or render-to-quote.

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 to prefer. The only audience cue is 'restaurant and brand teams,' which reads oddly for a renovation-quote tool and could actively misroute an agent looking for F&B brand tools.

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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