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ai_market_brief

Read-onlyIdempotent

AI-written situational brief of the Base token market — The zoom-out flagship: aggregates trending and newly-listed Base tokens, then AI writes a concise market brief — mood, highlights, new & notable launches, and cautions (fresh/unknown tokens flagged for rug risk). One call gives a trading agent market context instead of dozens of lookups. Priced $0.05 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls (no free tier on this tool). No API key required.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
dataNoThe result payload. Shape is service-specific; every field is documented in the tool description.
serviceNoThe service id that answered.
checkedAtNoISO-8601 timestamp of when the underlying reads were taken.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / data / description
      Previous value: -"The result payload. Shape is service-specific; every field is documented in the service description above."New value: +"The result payload. Shape is service-specific; every field is documented in the tool description."
  2. Changed1 schema field changed
    • removedOutput schema / required
      Removed value: -[
      -  "data"
      -]
  3. Added

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnly/idempotent/openWorld annotations, the description discloses cost and access mechanics that structured fields never carry: $0.05 per call over x402 on Base, a prepaid x-credit-token header for unlimited calls, no free tier, and no API key. It also describes the brief's contents and that fresh/unknown tokens are flagged for rug risk.

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?

Purpose and scope are front-loaded in the first clause, and each following sentence carries distinct information (aggregation source, brief contents, pricing, auth). It is a dense single paragraph with heavy em-dash use, which is slightly harder to scan than a structured list, but nothing is wasted.

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 an output schema present, return shape need not be explained, and the description adds the payment/auth model and content summary an agent needs before invoking a paid, no-param tool. Minor gaps remain: how to obtain the x-credit-token and any latency/freshness expectations for a generated brief.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The description correctly implies the call is self-contained with no filtering inputs.

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?

States a specific verb and resource ('AI-written situational brief of the Base token market') with explicit scope: aggregates trending and newly-listed Base tokens, then writes mood, highlights, launches, and cautions. This clearly separates it from siblings like market_pulse, trending_tokens, new_tokens, or ai_summarize without opening any schema.

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

Usage Guidelines4/5

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

'One call gives a trading agent market context instead of dozens of lookups' gives clear usage context and an implicit alternative to per-token lookups. However, it never names a competing sibling tool (e.g. market_pulse or crypto_trending) or states when NOT to use it, so no explicit routing is provided.

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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