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最近谁看过我

list_recent_attention
Read-onlyIdempotent

【需要登录】读最近7天主页/产品/需求的具名关注,已去自访和机器人;匿名仅ipHash计数下限,不可查身份。namedCount/total非本页长度,空正常勿重试。【组合链】viewerId→get_creator→start_conversation/follow_creator。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo回看天数,默认 7,最多 30
limitNo最多列出几位具名访客(默认 20,最多 50);namedCount 不受它影响,永远是真实总数

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover safety (readOnly, idempotent, non-destructive). The description adds that anonymized data is count-only with no identity resolution, and warns that namedCount/total are not the page length and that empty results are normal. These are useful behavioral cautions, though the description doesn't explain pagination, return shape, or rate limiting.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is dense but front-loaded: login requirement, time window, anonymous caveat, and the composition chain are each stated once. It could be slightly clearer by separating the counter semantics from the chain guidance, but no sentence is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only listing tool with no output schema and full schema coverage, the description addresses the key needs: login, time window, data exclusion, anonymous handling, and downstream tool chain. It doesn't cover return shape or pagination, but those are less critical here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameters are fully documented elsewhere. The description doesn't add syntax or format details beyond what the schema provides, which is acceptable given the high coverage baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly defines the resource: named viewers of the user's homepage/products/needs in the last 7 days, with bots and self-visits already excluded. It doesn't explicitly name a sibling tool with overlapping behavior, but the 'who viewed me' framing makes the purpose distinct enough among the listed tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is implied by the data scoping (7-day window for profile/product/need views) and the login prerequisite is stated. However, there is no explicit 'when to use this vs. alternatives' guidance, and the alternatives (e.g., list_my_notifications, list_profile_activities) are not mentioned.

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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