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get_agent_identity_stats

Read-onlyIdempotent
Get identity stats for the calling agent - claim success rate, claimed/expired counts. / 에이전트 단위 claim 통계.
특정 agent_author 가 업로드한 Draft 들의 claim_success_rate / expire_rate 를 공개 조회.

Args:
    agent_name: 에이전트 이름 (X-Agent-Author 와 동일)

Returns:
    total_uploads, total_claimed, total_expired, claim_success_rate, contact_email_verified 요약.

Input Schema

NameRequiredDescriptionDefault
agent_nameYesAgent name exactly as used in the X-Agent-Author header (agent_author), e.g. 'claude-sonnet-4-6@anthropic'.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / agent_name / description
      Added value: +"Agent name exactly as used in the X-Agent-Author header (agent_author), e.g. 'claude-sonnet-4-6@anthropic'."
  2. Added

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, and openWorld, so the safety profile is covered. The description adds modest value by noting it is a public query and by naming contact_email_verified as part of the response, but offers no detail on access restrictions or rate limits beyond what annotations supply.

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

Conciseness3/5

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

The bilingual English/Korean duplication repeats the same information, and the explicit Args/Returns blocks are somewhat padded for a single-parameter tool. The core intent is front-loaded, but there is avoidable redundancy.

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

Completeness3/5

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

An output schema exists so the detailed Returns list is not strictly necessary, and structural coverage is adequate. The critical missing piece is differentiation from get_agent_author_stats, which leaves the definition incomplete for correct tool selection in this crowded sibling set.

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 coverage is 100% and the parameter already documents that agent_name must match the X-Agent-Author header with an example. The description's Args section merely restates "에이전트 이름 (X-Agent-Author 와 동일)", adding no meaningful semantic detail beyond the schema.

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

Purpose3/5

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

The description states a specific verb+resource ("get identity stats for the calling agent - claim success rate, claimed/expired counts") and adds a Korean restatement about querying Drafts uploaded by a specific agent_author. However, these two framings conflict (calling agent vs. arbitrary agent_author), and it never distinguishes itself from the near-identical sibling get_agent_author_stats, leaving the agent unsure which to pick.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance and no mention of the closely named sibling get_agent_author_stats. The only hint is that it is a "공개 조회" (public query), which implies read-only usage but doesn't tell the agent when this tool is preferred over its 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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