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ticker_brief

One-call US stock ticker brief — X/Twitter activity (24h), SEC Form 4 insider activity (90d), and the latest 8-K, bundled. Each section fails independently. Facts only — this is not investment advice, a price target, or a buy/sell/hold signal. Costs $0.04 per call, paid from clink's shop credits (an existing key; new top-ups are paused). A failed or empty call is free.

Input Schema

NameRequiredDescriptionDefault
tickerYese.g. NVDA

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a good job: it discloses per-section independent failure, the $0.04 cost and its source, that failed/empty calls are free, and the 'facts only' content disclaimer. It omits rate limits and return format specifics, but the failure and cost semantics are genuinely valuable.

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 and every sentence carries information (sources, failure behavior, cost, disclaimer). It reads as a dense series of clauses rather than elegant prose, but nothing is padding.

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?

No output schema exists, so the description must sketch the return, and it does so at section granularity plus partial-failure behavior. Combined with the pricing/failure notes, an agent has enough to invoke this correctly; only the exact response shape is unspecified.

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?

Schema coverage is 100% with only one param (ticker, 'e.g. NVDA'), so baseline would be 3. The description adds a real constraint by scoping the ticker to US stocks, which the schema does not convey; that is more than a restatement.

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?

States a specific deliverable (a bundled US stock ticker brief) and enumerates exactly what is aggregated: 24h X/Twitter activity, 90d SEC Form 4 insider activity, and the latest 8-K. 'One-call ... bundled' implicitly separates it from the single-source siblings (sec_insider, x_ticker_pulse), though it never names them.

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

Usage Guidelines3/5

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

Gives useful context — cost per call, that empty/failed calls are free, and that credits come from an existing key with top-ups paused — but never states when to prefer this bundle over calling sec_insider or x_ticker_pulse separately. Usage is implied rather than delimited.

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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