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Entity Profile

entity_profile
Read-onlyIdempotent

"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO patents, federal contracts (USAspending), FDA-licensed biologics (Purple Book), H-1B hiring (DOL LCA), news and GLEIF, and returns: cik + company_name (+ resolved_from/resolved_to when value was a name); recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); federal_contracts (USAspending awards where the company is the recipient); fda_products (FDA-licensed biologics — vaccines, cell/gene therapies — from the Purple Book; a company with only small-molecule/generic drugs will show none here, that is expected, not a failure); hiring (H-1B sponsorship volume + salary range from DOL LCA filings); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. sources_used / sources_failed say which of these actually returned data for THIS company — an empty section is a real "no data", not a bug. Pass a ticker ("AAPL"), zero-padded CIK ("0000320193"), OR a company name ("Moderna") — names now resolve via SEC EDGAR's company-name match; a private company (no CIK/ticker) returns resolved:false with an explicit notes line, not a bare failure. type accepts "company" or "ticker" interchangeably — both take the same value shapes above.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes"company" or "ticker" — both are accepted and behave identically; `value` can be a ticker, CIK, or company name either way. person/place coming soon.
valueYesTicker (e.g., "AAPL"), zero-padded CIK (e.g., "0000320193"), or company name (e.g., "Moderna") — names resolve via SEC EDGAR company-name match.

TDQS

A4.9/5.0
Behavior5/5

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

The description goes far beyond the readOnly/idempotent annotations: it discloses fan-out across SEC EDGAR, XBRL, USPTO, USAspending, FDA Purple Book, DOL, news, and GLEIF; notes the USPTO API sunset soft-fail; explains that empty FDA sections are expected; and clarifies that sources_used/sources_failed distinguish real no-data from bugs.

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?

The description is long but dense and well-structured, front-loading use cases and the key routing instruction before enumerating return sections. Minor redundancy exists with the schema's type/value descriptions, but the added context justifies most of the length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the absence of an output schema, the description is remarkably complete: it enumerates every returned section, source-failure semantics, edge cases for private companies, and accepted input shapes. Nothing an agent needs to invoke it correctly is left unaddressed.

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

Parameters5/5

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

Although schema coverage is 100%, the description adds meaningful semantics: 'type' accepts 'company' or 'ticker' interchangeably, 'value' accepts ticker, zero-padded CIK, or company name, and names resolve via SEC EDGAR company-name matching. This materially clarifies invocation beyond the schema.

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?

The description states a specific verb and resource: it produces a full cross-source profile of a US public company in one parallel call, and opens with concrete user-phrase examples. It also distinguishes itself from chained single-pack SEC/XBRL/news lookups, making its role among siblings clear.

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

Usage Guidelines5/5

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

The description explicitly says 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view.' It also clarifies how to handle tickers, CIKs, names, and private-company inputs, giving the agent concrete routing and fallback expectations.

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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TDQS

A3.6/5.0
Disambiguation2/5

The server is named 'spacex' but contains a vast number of tools unrelated to SpaceX, such as polymarket arbitrage, npm package scanning, and claim validation. Users and agents would struggle to determine whether this server is for SpaceX data or general-purpose queries.

Naming Consistency2/5

The SpaceX-specific tools follow a consistent 'get_' pattern, but the majority of tools use varied naming conventions (e.g., 'ask_pipeworx', 'bet_research', 'remember', 'subscribe'). No unifying pattern across the set.

Tool Count3/5

36 tools is a moderately large count, not extreme. However, many tools are unrelated to the server's namesake, making the set feel bloated and unfocused. The count could be trimmed to improve coherence.

Completeness2/5

For the SpaceX domain, the coverage is decent (launches, rockets, crew, Starlink). But the server's purpose is unclear—there are glaring gaps in a unified vision, as the Pipeworx tools are not integrated into a coherent SpaceX theme.