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robinx-mcp

by io.github.jamhimself
OverviewDiscussionsAdmin

Token social tape

robinx_mentions
Read-only

The latest 200 X mentions of a Robinhood Chain token with the caller's MEASURED accuracy record attached (early_rate, median 1h price move, cluster flag), plus true total + truncation flag, hourly velocity from a full 24h count, the first-ever mention, and clustered-vs-independent voice counts. The social×price join, graded on our own chain data. Tweet text is never redistributed. Costs $0.02 USDC on Base. (paid $0.02, or included in a RobinX plan key — see instructions)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "robinx_mentions"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokenYesToken contract address 0x…

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, openWorld, non-destructive), yet the description adds genuinely useful operational context: a $0.02 USDC cost on Base, plan-key inclusion, and the fact that tweet text is never redistributed. It still omits what the 'cluster flag' means and whether results paginate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The return payload is front-loaded, which is good, but the sentence is a dense run-on list and the cost clause is redundantly repeated ('Costs $0.02 USDC on Base. (paid $0.02, or included in a RobinX plan key…)'). It earns most of its length but wastes some on duplication.

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?

With no output schema, the description carries the full burden of explaining returns and does so thoroughly (payload contents, totals, truncation flag, velocity). For a one-parameter read tool the gaps are minor: undefined jargon like 'cluster flag' and no note on ordering or pagination.

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% for the single 'token' parameter, which the schema already documents as a 0x… contract address. The description adds only the framing that the token is a Robinhood Chain token, which is marginal value over structured data; baseline 3 is appropriate.

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 states a specific verb+resource ('latest 200 X mentions of a Robinhood Chain token') and enumerates the attached aggregates (accuracy record, velocity, first-ever mention, voice counts), so the agent knows exactly what this returns. It does not, however, differentiate itself from plausible siblings like robinx_social_momentum, robinx_feed, or robinx_signals, leaving the agent to infer which social tool fits.

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 explicit when-to-use guidance, no stated prerequisites beyond cost, and no named alternative. The reader can infer it is the tool for per-token mention data, but nothing routes the agent between this and the several other social/signal siblings.

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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