meetwhen
Server Details
Free no-signup group scheduling (a modern When2meet): share one link, find a time for everyone.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.2/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: one creates events, the other retrieves their state. No overlap or ambiguity.
Both tool names follow the verb_noun pattern (create_event, get_event) consistently, making them predictable and easy to distinguish.
Two tools is well-scoped for a focused scheduling poll service. It covers the essential operations without unnecessary bloat.
The tool set covers creating and reading events, which addresses the core use case. However, it lacks tools for updating, deleting, or responding to events, which are minor gaps.
Available Tools
2 toolscreate_eventAInspect
Create a free, no-signup group-scheduling event (like When2meet) and get a shareable link. Give it candidate dates and a daily time window; it builds the availability grid. Send the returned url to everyone in the group — each person paints when they're free in their own timezone, and the best overlapping time surfaces automatically. Ideal when a user asks you to 'find a time' or 'set up a poll' for a meeting.
| Name | Required | Description | Default |
|---|---|---|---|
| dates | Yes | Candidate dates as YYYY-MM-DD strings (1-21 days). | |
| title | Yes | Event name, e.g. 'Team sync' or 'D&D night' (max 80 chars). | |
| timezone | No | IANA timezone the hours are expressed in, e.g. 'America/New_York' (default UTC). Respondents still answer in their own local time. | |
| latest_hour | No | Latest hour of day to consider, 1-24 (default 17). Must be greater than earliest_hour. | |
| slot_minutes | No | Granularity of each time slot in minutes (default 30). | |
| earliest_hour | No | Earliest hour of day to consider, 0-23 (default 9). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It clearly describes the behavior: no signup, builds availability grid, returns URL, participants answer in own timezone, best time surfaces automatically. No contradictions or omissions.
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?
The description is informative and front-loaded with the core purpose, but slightly verbose with redundant explanation of the scheduling flow. Still, every sentence adds value.
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?
No output schema, but the description mentions the return value ('shareable link', 'returned url'). For 6 parameters with 2 required, the description adequately covers the workflow and expected result, though it could explicitly state that the output is a URL.
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?
Schema description coverage is 100%, so baseline is 3. The description adds context by explaining the collective purpose of parameters (candidate dates and daily time window) but does not significantly enhance individual parameter semantics beyond the schema.
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 explicitly states the tool creates a free, no-signup group-scheduling event and returns a shareable link, with a clear verb (Create) and resource (event). It distinguishes from the sibling tool 'get_event' by focusing on creation rather than retrieval.
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?
The description specifies the ideal use case: 'when a user asks you to find a time or set up a poll for a meeting.' It implicitly excludes other contexts via the sibling tool, but lacks explicit when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_eventAInspect
Read the current state of a meetwhen event: how many people responded, who, and the best overlapping time(s) so far. Use the event id returned by create_event (or found in a meetwhen /e/ URL).
| Name | Required | Description | Default |
|---|---|---|---|
| event_id | Yes | The event id returned by create_event. | |
| timezone | No | IANA timezone to render the best-time labels in (default UTC). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It indicates a read operation but lacks details on error cases (e.g., invalid event_id) or side effects. The statement 'current state' implies dynamism but could be more explicit.
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?
The description is two sentences, front-loaded with the primary purpose, and includes a practical usage note. No unnecessary words or repetition.
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 simple read tool with no output schema, the description covers core outputs and event_id sourcing. It doesn't detail the exact response structure, but the mention of 'how many, who, best times' is sufficient for a basic understanding.
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?
Schema coverage is 100% with descriptions for both parameters. The description adds value by explaining the event_id originates from create_event or a URL, which enhances understanding beyond the schema.
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 clearly states the tool reads the current state of a meetwhen event, listing specific outputs (responses, people, best times). It distinguishes itself from the sibling create_event by being a read operation.
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?
The description instructs when to use the tool (after creating an event or from a URL), but doesn't explicitly state when not to use it or mention alternatives beyond the sibling. However, the context is clear given only one sibling.
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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{
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"maintainers": [{ "email": "your-email@example.com" }]
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