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processed_a_share_top

Finance Signal Bundle - get live computed signal: Processed analytics layer over financial markets: 30-period percentile rank, 4-period momentum, and a plain-language trend verdict. Turns ra Price 0.01 via x402 (USDC on Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
walletNooptional 0x wallet for X-Wallet free tier (free credits every month: 100 anonymous or 5000 with a bound wallet)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It mentions a garbled 'Turns ra Price 0.01 via x402 (USDC on Base)' which hints at payment behavior but is unclear; it does not disclose authentication, access tiers, rate limits, return structure, or side effects beyond producing a signal.

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

Conciseness2/5

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

The description is short and front-loaded with the signal components, but it is poorly structured: 'Turns ra Price 0.01 via x402' appears truncated or garbled, and the second sentence fails to clearly communicate its intended meaning. Conciseness is not a substitute for clarity.

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?

With no output schema and a tool name implying a specific 'A-share top' use case, the description should explain what the returned signal actually represents. It lists computation components but omits context about asset universe, ranking semantics, pricing, or integration requirements, leaving the agent under-informed for correct invocation.

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 description coverage is 100%, and the wallet parameter is already well explained with free-tier credit details. The main description adds no parameter-level meaning, but the schema fully carries that burden, so baseline 3 is appropriate.

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 states a concrete action (get live computed signal) and lists signal components: 30-period percentile rank, 4-period momentum, and a trend verdict. However, it never connects the tool name 'a_share_top' to A-share context or a 'top' list, and the generic phrase 'financial markets' makes the resource ambiguous among many processed_* 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?

There is no guidance about when to use this tool instead of the many sibling processed_* or signal_* tools. No alternative tools, exclusions, or conditions are mentioned, so an agent must infer selection purely from the name and vague description.

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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