Skip to main content
Glama

Gtin

by io.github.pipeworx-io

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?

Goes far beyond the readOnly/idempotent hints by disclosing parallel fan-out across SEC EDGAR, XBRL, USPTO, USAspending, and more; the semantics of sources_used/sources_failed; the USPTO API sunset soft-fail; and the meaning of empty sections. It also details return fields like resolved_from/resolved_to and recent_filings URIs, giving the agent a clear mental model of behavior.

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

Conciseness5/5

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

The description is long but every sentence is actionable: trigger phrases, usage preference, source list, return-field summary, and edge-case handling. It is front-loaded with core purpose and user examples, then dives into details relevant to correct invocation. Given the tool's complexity, this length is justified and well-structured.

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?

This tool has no output schema, so the description carries the burden of explaining what the agent will receive. It does so comprehensively: input formats, resolved/private behavior, recent_filings with URIs, fundamentals, sources_used/sources_failed, and expected empty sections. Enough detail exists for an agent to invoke it correctly and interpret the response in all documented edge cases.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful extras beyond the schema: type values are interchangeable, value can be a ticker, CIK, or name, and names resolve via SEC EDGAR with explicit private-company behavior. This is a step above minimum viable, but not a large leap since the schema already contains good parameter descriptions.

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 defines the tool as a single-call, cross-source profile of a US public company, with concrete query examples ('Tell me about X', 'company profile for Microsoft') and a specific resource scope. It distinguishes itself from chained SEC/XBRL/news lookups, which is the main alternative an agent might otherwise consider.

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?

Explicitly instructs to 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view.' It also clarifies when results are expected to be sparse (e.g., FDA section for small-molecule companies) and that private companies return resolved:false rather than a hard error. Person/place use is implicitly excluded with 'coming soon.'

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Gtin toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.5/5.0
Disambiguation2/5

Multiple tools have heavily overlapping purposes: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all handle query routing, and the five polymarket_* tools plus bet_research blur the line between market scanning, edge detection, and fill-risk analysis. Several pairs (entity_profile/compare_entities/recent_changes, ai_visibility_check/scan_competitor_ai_presence) also overlap substantially.

Naming Consistency2/5

The tool names mix multiple conventions: verb_noun (validate_gtin, list_subscriptions, generate_llms_txt), brand-prefixed groups (pipeworx_*, polymarket_*, ask_pipeworx*), and bare nouns (entity_profile, recent_alerts). The server is named after GTIN/barcodes, yet most tools are branded Pipeworx or Polymarket, making the set feel incoherently named.

Tool Count2/5

33 tools is well over the threshold where a typical agent can comfortably navigate the surface, especially since they span unrelated domains: barcode validation, data lookups, prediction-market arbitrage, memory storage, subscriptions, npm scanning, and llms.txt generation. The count reflects an overgrown grab bag rather than a well-scoped toolset.

Completeness2/5

There is no coherent domain to assess completeness against: for the server's apparent GTIN/barcode purpose, only gtin_check_digit and validate_gtin exist (and not even a lookup for product data by GTIN). For the broader Pipeworx platform hinted at by most tools, the surface is scattered, with deep coverage of prediction-market edges but arbitrary one-off utilities elsewhere.

Resources