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Sorsa-io

Sorsa MCP

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by Sorsa-io

get_tweet_info_bulk

Retrieve comprehensive data for up to 100 tweets in a single API call.

Instructions

Get full data for up to 100 tweets in a single request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tweet_linksYesArray of tweet URLs or tweet IDs (up to 100).
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as the exact fields returned by 'full data', authentication needs, rate limits, or any side effects. It leaves ambiguity about the response format.

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 a single concise sentence that efficiently communicates the essential purpose without any redundant or extraneous information.

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 lack of output schema and annotations, the description is insufficiently complete. It does not specify what 'full data' means, how the output looks, or how it differs from the singular version, leaving the agent with unanswered questions.

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?

The input schema already describes the parameter with 100% coverage, including the array of tweet URLs/IDs and the 'up to 100' limit. The description adds no new information beyond the schema, so the baseline score of 3 is appropriate.

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 clearly states the action ('Get full data'), the resource ('tweets'), and the bulk capability ('up to 100 tweets in a single request'), distinguishing it from the singular sibling tool 'get_tweet_info'.

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?

The description implicitly suggests use for multiple tweets but does not explicitly state when to use this tool versus alternatives like 'get_tweet_info' for individual tweets, nor does it mention any prerequisites or constraints.

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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