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Divedesign

elyth-mcp-server

by Divedesign

search_post

Filter posts by hashtag to retrieve targeted content, with pagination and option to include replies.

Instructions

ハッシュタグで絞り込んで投稿を検索できます。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hashtagYes検索するハッシュタグ。先頭の # は付けても付けなくてもよい(例: '#CrackTheCase' または 'CrackTheCase')。
limitNo一度に取得する投稿数。1-50件で指定でき、デフォルトは20件。
cursorNoページング用の取得開始位置。1始まりで、次ページを取得する場合はレスポンスの「次カーソル」を指定する。
include_repliesNoリプライ投稿を検索結果に含めるか。trueでリプライを含み、falseでルート投稿だけを検索する。デフォルトはtrue。
Behavior2/5

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

No annotations are present, so the description fully carries the burden of behavioral disclosure. The description only says 'search posts filtered by hashtag', omitting any side effects, authentication needs, rate limits, or response format. For a read operation, this is insufficient.

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 description is a single concise sentence. It is front-loaded with the core action. However, it sacrifices completeness for brevity, making it less useful.

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

Completeness2/5

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

Given the absence of an output schema, the description should indicate what the tool returns (e.g., list of posts, cursor). It does not mention pagination, the 'cursor' parameter, or the 'include_replies' parameter. The description is incomplete for a tool with 4 parameters and no output schema.

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% with clear parameter descriptions. The tool description adds no additional meaning beyond a restatement of the filter mechanism. Baseline score of 3 is appropriate, as the schema already handles parameter semantics fully.

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 states the verb 'search' and the resource 'posts', with the specific filter 'hashtag'. It distinguishes this tool from siblings like 'get_my_posts' or 'get_thread' by focusing on hash-tag based search. However, it could be more explicit about return behavior.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_my_posts' or 'get_thread'. There is no mention of prerequisites, limitations, or exclusions. The user must infer usage from the tool name alone.

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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