读我的通知偏好
get_notification_prefs【需要登录】读七通知及五破冰治理键,以返回值为准;nudge管未读私信邮件/短信及邮件退订,recall独立于matches。get→确认→set_notification_prefs;方向list_my_match_preferences,兴趣get_my_preferences。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_notification_prefs【需要登录】读七通知及五破冰治理键,以返回值为准;nudge管未读私信邮件/短信及邮件退订,recall独立于matches。get→确认→set_notification_prefs;方向list_my_match_preferences,兴趣get_my_preferences。
| 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/destructiveHint=false, so safety is covered. The description adds two real behavioral facts beyond that: a login requirement (【需要登录】) and that the returned values are authoritative (以返回值为准). Beyond those it gives no rate-limit or response-shape detail.
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?
Front-loads the login requirement, which is good, but the body is a run-on of unexplained jargon ('nudge', 'recall', '七通知/五破冰治理键') and arrow notation that forces re-reading. It is compact, but density here costs comprehension rather than saving it.
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?
With no output schema, the description usefully enumerates what the read returns (notification keys plus icebreak governance keys, with nudge covering unread DM email/SMS and email unsubscribe). That covers the main gap an agent would otherwise have for a zero-parameter read tool.
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 schema description coverage is 100%, so there is nothing for the description to compensate for; the baseline of 4 applies. The description instead spends its words on what the (parameterless) read returns.
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 read action (读通知偏好 / notification keys) and names the sibling tools for adjacent preference domains (list_my_match_preferences, get_my_preferences), so an agent can separate it from them. The phrasing '七通知及五破冰治理键' is dense internal jargon, which blunts clarity but does not obscure the core verb+resource.
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?
Gives an explicit flow ('get→确认→set_notification_prefs') that tells the agent this is the read step preceding the setter, and routes direction/interest preferences to the correct alternatives. No explicit when-not conditions are stated, but the routing is clear enough to act on.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.