The menu
menuWhat is sold, where, and for how much.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
menuWhat is sold, where, and for how much.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds only the data domain it returns (offerings, places, prices), with nothing about format, freshness, or size of the response.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with no filler, and the most informative content (what, where, price) is front-loaded. It is perhaps too terse to fully disambiguate the resource, but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read-only tool with no output schema, the burden is light, and the description does convey the data returned. It still leaves the return shape and the boundary against sibling tools such as about and anchors unspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters and the schema is fully specified, so there is no parameter semantics for the description to clarify. Baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
"What is sold, where, and for how much" describes the content domain of the resource rather than naming a verb and resource, and the tool name "menu" is metaphorical. An agent can infer it returns a catalog with locations and prices, but it is not explicitly distinguished from siblings like about or tonight.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to call this versus the other seven sibling tools, no prerequisites, and no exclusions. The agent must infer that it is used when pricing or product-location information is needed.
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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