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sec_analyst

Call the Stock Bloc SEC Analyst to analyze SEC filings (Form 10-K, 10-Q, 8-K) and return structured financial intelligence, revenue quality audits, and forensic risks (Price: $0.25 USDC via x402 pay-per-call on Base). Alias: analyze_sec_filing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker symbol (e.g. AAPL, NVDA, MSFT, TSLA)
questionNoOptional specific financial intelligence query
filingTypeYesSEC filing type to analyze

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose a real behavioral trait the schema cannot express: a $0.25 USDC x402 pay-per-call charge on Base, which matters for an autonomous agent budgeting calls. It does not cover auth requirements, latency, rate limits, or failure modes, so the disclosure is partial.

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?

A single front-loaded sentence delivers the action, the resource, the outputs, and the payment model, with the alias note last. It is dense but every clause carries information; no filler.

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 compensates by naming the return content (structured financial intelligence, revenue quality audits, forensic risks) and the payment requirement. Given the simple 3-parameter schema, this is close to complete; only error behavior and analysis depth remain unstated.

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%, so all three parameters (ticker, question, filingType) are already documented in the schema. The description adds no per-parameter semantics – e.g. it does not clarify what 'question' should contain or how deep the analysis goes – so the baseline of 3 applies.

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 verb (analyze) and resource (SEC filings) and enumerates the concrete filing types (10-K, 10-Q, 8-K) plus the outputs it produces. It also declares itself an alias of analyze_sec_filing, which is a sibling, so an agent can resolve the duplication without opening a schema.

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?

Usage is implied by the resource description – call it to analyze an SEC filing – and the alias note implicitly tells the agent this and analyze_sec_filing are interchangeable. However, there is no explicit when-to-use/when-not guidance against the other analysis siblings such as analyze_stock_ai or search_13f_whale_filings.

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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