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rimmade

syncly-dataset-mcp

by rimmade

search_voc

Search Voice of Customer posts using keywords, sentiment, or filters such as platform and brand. Retrieve top posts by engagement when no keyword is provided.

Instructions

Search Voice of Customer posts by keyword and/or sentiment.

Searches both main text and summary columns (if available). When only sentiment is provided (no query), returns top posts by engagement.

Args: query_id: Dataset ID from list_data_queries query: Keyword to search in post text and summaries sentiment: Filter sentiment: "positive", "negative", or "neutral" filters: Additional filters: platform, brand, category, date_from, date_to limit: Max results, up to 100

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idYes
queryNo
sentimentNo
filtersNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It describes search behavior and special sentiment-only mode, but does not explicitly state read-only nature or other traits like rate limits or auth requirements. Output schema exists but not described.

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 concise: a brief introductory sentence followed by a clear bulleted list of arguments. No redundant information.

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?

Given the output schema exists, return values need not be explained. The description covers parameters, special mode, and limit. Missing examples and error info, but overall adequate for a search tool.

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

Parameters5/5

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

Schema description coverage is 0%, but the description adds meaningful explanations for all 5 parameters, including the list of filter fields and the source for query_id. This compensates well for the missing schema descriptions.

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 it searches Voice of Customer posts by keyword and/or sentiment, and specifies it searches both main text and summary columns. However, it does not explicitly distinguish from sibling tools like search_posts, which could overlap.

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?

Provides specific guidance: when only sentiment is provided (no query), it returns top posts by engagement. Missing explicit when-not-to-use or alternatives, but the special case is helpful.

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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