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Demo Bakery (fictional AgentVisibly demo)

Opening hours

get_hours
Read-only

Opening hours for Demo Bakery (fictional), as published by the owner.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The only added signal is provenance ('as published by the owner'), and the description says nothing about freshness, timezone, or whether the fictional sample data is authoritative—minimal value beyond the annotation.

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?

One short sentence, front-loaded with the resource, with no filler or redundancy. Nothing in it fails to earn its place.

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?

For a zero-parameter, read-only lookup with no output schema, this is nearly sufficient—the agent knows what it retrieves and from whom. A brief note on return shape (e.g., per-day hours, timezone) would close the remaining gap left by the missing output schema.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate, which is the baseline-4 case. No misleading parameter information is present.

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

Purpose3/5

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

The description restates the title's resource ('opening hours') and adds the target entity and data provenance ('Demo Bakery (fictional), as published by the owner'). It never distinguishes this from the sibling get_business_info, which plausibly also surfaces hours, so an agent cannot confidently choose between them from the description alone.

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 and no mention of the closest alternative (get_business_info) or when hours are unavailable. The agent must infer that this is the dedicated hours lookup purely from the name.

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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