company_research
Company research brief with cited sources, business profile, competitors, market signals, and risks. $0.50/call via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | Exchange ticker, e.g. AAPL | |
| filing_type | No | 10-K |
Company research brief with cited sources, business profile, competitors, market signals, and risks. $0.50/call via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | Exchange ticker, e.g. AAPL | |
| filing_type | No | 10-K |
Changes observed during successful MCP inspections.
Input schema / properties / ticker / examplesAdded value: +[
+ "COIN"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it does disclose one meaningful trait: a per-call price of $0.50 via x402, implying a paid/crypto-settlement flow. It says nothing about latency, caching, whether the funding wallet must be pre-provisioned, or the output format, so significant gaps remain.
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?
Two short sentences, front-loaded with the deliverable and its component sections, then the cost. No filler or repetition of the tool name.
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?
For a paid research tool with no output schema and no annotations, describing the brief's sections is a good start, but the definition omits selection guidance, the meaning of filing_type, and operational traits like latency and output shape. It is adequate but well short of complete.
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 50% — ticker has a description (though its schema example, COIN, conflicts with the 'AAPL' example shown) and filing_type has an enum plus default but no textual description. The description adds zero parameter meaning, leaving filing_type's semantics (which filing drives the brief) entirely to inference.
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?
The description enumerates the concrete deliverable — a cited research brief covering business profile, competitors, market signals, and risks — which tells an agent exactly what it produces and lets it be distinguished from siblings like market_intel or us_equity_snapshot. The verb is only implied via the tool name, but the output scope is specific enough to be actionable.
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?
There is no guidance on when to choose this over adjacent tools such as research_answer, market_intel, or us_equity_snapshot, nor any stated prerequisites. The only usage-adjacent signal is the price tag, which is not the same as selection guidance.
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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