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Sorsa-io

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by Sorsa-io

search_community_tweets

Search for tweets by keyword within a specific X/Twitter Community. Sort by popularity or recency and paginate through results.

Instructions

Search tweets by keyword within a specific X/Twitter Community.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
community_linkYesCommunity ID or full community URL.
queryNoSearch query string.
orderNoSort order.
next_cursorNoPagination cursor from a previous response.
Behavior2/5

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

There are no annotations, so the description must convey behavioral traits. It only states the basic operation (search by keyword within a community) but omits details on authorization requirements, rate limits, pagination behavior, or what happens with empty results. This is insufficient for a complete understanding.

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 sentence of 8 words, which is very concise. It front-loads the core purpose. However, it could be slightly more structured with additional details without becoming verbose. Nevertheless, it earns a high score for efficiency.

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 tool has 4 parameters and no output schema, the description should provide more context about the return format, typical usage, or relationship to sibling tools. It is too sparse to be considered complete, especially compared to similar tools with richer descriptions.

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%, so the input schema already describes all parameters. The description does not add any additional meaning or usage context beyond what is in the schema. Therefore, it meets the baseline expectation but does not exceed it.

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 that the tool searches tweets by keyword within a specific X/Twitter Community. It specifies the verb (search), resource (tweets), and scope (within a community), differentiating it from general search_tweets and list-oriented get_community_tweets siblings.

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 search_tweets or get_community_tweets. It does not indicate prerequisites, limitations, or typical use cases, leaving the agent to infer usage context.

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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