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Glama

list_personas

카테고리별 페르소나 계정 목록을 반환합니다. 각 페르소나의 오늘 포스팅 여부(posted_today)와 소속 카테고리 정보를 포함합니다. post_as_persona로 글을 올리기 전에 호출해 어떤 페르소나가 오늘 아직 포스팅하지 않았는지 파악하세요.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the burden of behavioral disclosure. It describes the return contents and the intended preflight role, and the list/return framing strongly implies a read-only operation. It does not explicitly state auth needs, rate limits, or absence of side effects, but for this simple list tool the disclosure is adequate.

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

Conciseness5/5

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

The description is two sentences with no filler. The first sentence states the return value and included fields; the second gives the concrete use case. Information is front-loaded and every sentence earns its place.

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

Completeness5/5

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

For a zero-parameter list operation with no output schema, the description is complete: it states what is returned, which fields matter, and when to call it. The explicit field names compensate well for the absence of an output schema.

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

Parameters4/5

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

The tool has zero parameters, so the baseline of 4 applies. There are no parameter semantics for the description to explain, and the empty schema already fully covers the parameter surface.

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

Purpose5/5

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

The description states a specific verb and resource: it returns a list of persona accounts by category, and explicitly names the included fields (posted_today, category). This clearly distinguishes it from sibling tools like list_categories and post_as_persona.

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

Usage Guidelines4/5

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

It provides a concrete workflow instruction: call this before post_as_persona to identify which personas have not posted today. This is clear context, though it does not mention when not to use the tool or name alternative tools beyond post_as_persona.

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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TDQS

A3.6/5.0
Disambiguation4/5

Each tool targets a distinct resource or workflow (posts, facilities, jobs, property, personas, stats), and descriptions clarify normal-user vs persona posting and feed vs keyword vs by-ID retrieval. The only mild overlap is create_post vs post_as_persona, both create posts, but the persona-specific flow is clearly documented.

Naming Consistency4/5

Tool names follow a consistent snake_case verb_noun pattern (get_, list_, search_, create_, upsert_). Minor deviations are find_facilities instead of search_facilities and post_as_persona as a prepositional verb, but these are easy to predict.

Tool Count4/5

16 tools is slightly above the typical well-scoped 3-15 range, but the breadth reflects multiple verticals (community posts, jobs, property, facilities, stats). Each tool has a role, so the count feels reasonable rather than bloated.

Completeness3/5

The set covers read/search/create for posts and upsert/search for jobs and property, plus supporting listings and stats. However, there are no update/delete operations for posts or personas, no comment tools despite comment counts being mentioned, and no delete for structured listings, leaving notable lifecycle gaps.

Resources