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twitter_trends

Read-only

Trending topics for a country. (1 credit)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "twitter_trends"
  }
}

Input Schema

NameRequiredDescriptionDefault
countryNoTwo-letter country code.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile and external-data nature are covered without the description. The description's one real contribution is the '(1 credit)' cost disclosure, which is genuinely useful for a metered API, but it says nothing about result freshness, result count, or response shape.

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?

Two fragments, zero filler, and the resource is front-loaded. Nothing could be removed without losing information; the terseness is a completeness problem, not a conciseness one.

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?

For a tool with no output schema, the description should at minimum characterize what comes back (list of topic names, ranks, volumes?) and what the empty-country default is. With 0 required parameters and no return description, an agent has to guess on both counts.

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% and the single parameter is fully documented as a 'Two-letter country code.' The description's 'for a country' adds no syntax or format detail beyond the schema. Baseline 3 applies where the schema does the heavy lifting, though the description could have clarified the optional-parameter default.

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

Purpose3/5

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

The description names a specific resource (trending topics) and a scope (for a country), so the agent can tell roughly what it returns. However, it is a bare noun phrase with no verb, never states the platform (only the tool name 'twitter_trends' signals Twitter), and does nothing to distinguish it from near-siblings like tiktok_trending or tiktok_trending_feed.

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?

There is no when-to-use guidance at all: no mention of when to pick this over tiktok_trending or twitter_search, no statement of prerequisites, and no explanation of what happens when the optional country parameter is omitted (global trends? default locale?).

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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