check_availability
The next open 30-minute call slots with the studio (Milan time, weekdays). Coarse: slot start times only.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The next open 30-minute call slots with the studio (Milan time, weekdays). Coarse: slot start times only.
| 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?
With no annotations, the description carries the full burden. It does disclose real behavioral constraints — 30-minute slot length, Milan timezone, weekday-only availability, and coarse granularity (start times only) — but says nothing about how many slots come back, whether results are live, or how far ahead the window extends.
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?
Two short sentences, front-loaded with the resource and scope, and the granularity caveat is kept to a compact clause. Nothing is redundant or padded.
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 tool with no output schema, the description should convey the return shape, and it only partly does ('slot start times only'). It clarifies timezone and weekday filtering but leaves the number of returned slots and the response format to inference.
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, so there is nothing for the description to disambiguate; baseline 4 applies. The description's constraints (weekday, Milan time) are fixed behavior, not argument semantics.
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?
The description states the specific resource and scope: the next open 30-minute call slots with the studio, constrained to Milan time and weekdays. That is enough to tell it apart from the booking sibling request_call and from list_services, though it never says the verb outright ('returns'/'lists').
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?
Usage is implied rather than stated: an agent can infer this is the pre-booking lookup that precedes request_call. The parenthetical 'Coarse: slot start times only' acts as a mild exclusion hint (don't use it if you need slot details), but no sibling is named and no when-not condition is spelled out.
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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