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Demo Bakery (fictional AgentVisibly demo)

Business info

get_business_info
Read-only

Name, description, address, phone, email, website and links for Demo Bakery (fictional).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description's burden is light. It adds useful context by enumerating the returned fields and flagging that Demo Bakery is fictional, though it says nothing about whether the data is static or where it originates.

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

Conciseness4/5

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

A single front-loaded sentence with no filler. It could be marginally stronger with an explicit verb ('Returns ...'), but every word carries information.

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?

With no parameters and no output schema, the description is the only place the return shape can be documented, and it does that by listing the fields. Nothing an agent needs to invoke it correctly is missing, though nested structure or link format remains unspecified.

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. Baseline 4 applies; the description does not waste space on parameter talk.

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

Purpose4/5

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

The description names the specific resource and enumerates the exact fields returned (name, description, address, phone, email, website, links), so an agent can tell it apart from get_hours or list_products by content alone. It never explicitly says 'get' or names a sibling, but the field list is concrete enough to be unambiguous.

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 versus get_hours or list_products, and no prerequisites or exclusions. The agent must infer usage from the field list, which is workable but not guidance.

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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