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sanhao-global-experts

forecast-diag-tool

Turn expertise into output. This forecast diag 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

C2.2/5.0
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 burden, and it discloses almost nothing about behavior. The only concrete hint is that the tool bundles "the complete prompt, usage guide, and edge-case handling," which vaguely implies a prompt-pack return, but permissions, cost, side effects, and output shape are all unaddressed.

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?

Three sentences of promotional copy with no functional content; the opening line is pure filler and the actual capability is never front-loaded. The text is short but does not earn its place, since none of it helps an agent decide or call correctly.

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?

For a tool with no annotations and no output schema, the description must explain what the diagnostic produces and when to use it, and it does neither. The only useful signal — that a prompt pack with edge-case handling is involved — is buried and insufficient for correct invocation.

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% for the single optional 'query' parameter, so the schema already documents its meaning. The description adds no further detail about how the query scopes the analysis, so the 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 what the tool actually does. "Turn expertise into output" and "produce professional results in minutes" are marketing slogans that restate the name (forecast diag) without specifying a verb or the analysis performed, and there is no differentiation from the many forecast-* siblings such as forecast-analyze-tool or forecast-formula-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 at all: no conditions, no prerequisites, and none of the alternative forecast-* tools are named or excluded. An agent cannot infer from this text whether it should pick diag over analyze, formula, board, or tpl for a given forecast task.

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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