X pulse synthesis

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

Annotations already cover readOnly/openWorld/non-destructive, and the description adds genuinely new behavioral context: the price ($0.04 USDC on Base), the data fusion sources (live X + RobinX caller-lift + on-chain), and a stated 'skeptical by design' stance. Missing only latency/rate-limit or freshness caveats, which would push it to a 5.

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

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

The purpose and differentiator are front-loaded, and the cost note is a useful trailing sentence. Slightly heavy on em-dash clauses and ALL-CAPS emphasis, but no sentence is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description carries the return-value burden — and it does so by enumerating the output facets (narrative, sentiment, conviction, red flags, early-caller activity). An agent knows what comes back and what it costs before calling.

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

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

Schema coverage is 100% — the single 'token' parameter is fully documented as a 0x… contract address on Robinhood Chain. The description adds nothing about the parameter, so the baseline of 3 applies; it neither compensates nor detracts.

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

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

Opens with a specific verb+resource: 'Real-time X (Twitter) SYNTHESIS for a Robinhood Chain token', then enumerates the outputs (narrative, sentiment, conviction, red flags, proven early-caller activity). It distinguishes itself from on-chain tools generically but never names a specific sibling like robinx_social_momentum or robinx_verdict, which is the only gap.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states 'Use when you need the social read on a token, not just the on-chain one', giving a clear selection criterion. However, with 27 siblings including robinx_social_momentum and robinx_verdict, an agent still cannot infer precisely when to pick this over those; no exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.