Get unread counts for a user
stream_get_unread_countsFetch total and per-channel unread message/mention counts for one user. GET /api/v2/chat/unread.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | User id to fetch unread counts for. |
stream_get_unread_countsFetch total and per-channel unread message/mention counts for one user. GET /api/v2/chat/unread.
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | User id to fetch unread counts for. |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"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 description usefully discloses the return shape (total plus per-channel, messages and mentions counts) and the backing endpoint, but says nothing about auth requirements, pagination, or rate limits.
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 sentences, front-loaded with the core action and scope, followed by the endpoint. Every clause earns its place with no filler.
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 one-parameter read tool with full schema coverage and no output schema, the description discloses enough: what is fetched, the granularity of the counts, and the endpoint. Minor gaps around return format details are acceptable given the simplicity.
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% and the sole parameter is fully documented in the schema, so the schema does the heavy lifting. The description's 'for one user' only echoes the parameter's intent without adding syntax or format detail.
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?
States a specific verb ('Fetch') and resource ('unread message/mention counts') with the exact scope ('total and per-channel ... for one user'). It is clearly distinguishable from siblings like stream_get_channel or stream_search_messages.
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 single-user scope implies when the tool applies, but there is no explicit when-to-use, no exclusion, and no mention of alternatives such as querying channels or messages for other count data. Usage must be inferred.
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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