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sanhao-global-experts

expense-write-tool

Turn expertise into output. This expense write 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

C2.1/5.0
Behavior2/5

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 side effects, required inputs, or what is returned. Worse, the framing as a static 'prompt pack' that 'includes the complete prompt, usage guide, and edge-case handling' suggests a downloadable artifact rather than an executed analysis, which muddies the behavior of a tool named 'write-tool'.

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?

At three short sentences it is not verbose, but every sentence is promotional filler that fails to front-load what the tool does. Space is spent on 'in minutes' and 'professional results' instead of scope, inputs, or output.

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 and no output schema, the description was the only channel for behavior, and it conveys none. An agent cannot determine from this text what a call produces or when to prefer it over the dozens of expense-* and *-write-tool siblings.

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?

Schema description coverage is 100% and the single optional 'query' parameter is already documented in the schema as scoping the analysis. The description adds no meaning beyond that, but the high-coverage baseline of 3 applies.

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 never states a concrete operation on a concrete resource. 'Turn expertise into output' and 'helps restaurant and brand teams produce professional results' are marketing phrasing, and 'expense write tool prompt pack' largely restates the tool name rather than explaining what the call returns or does. It gives no signal to distinguish it from siblings such as expense-gen-tool, expense-tpl-tool, or expense-rewrite-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 when-to-use guidance, no prerequisites, and no mention of alternatives among the many expense-* siblings. The only implied context is an audience ('restaurant and brand teams'), which is not an invocation condition.

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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