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Glama

Reddit

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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changed
    • changedInput schema / properties / type / description
      Previous value: -"Entity type. Only \"company\" supported today; person/place coming soon."New value: +"\"company\" or \"ticker\" — both are accepted and behave identically; `value` can be a ticker, CIK, or company name either way. person/place coming soon."
    • changedInput schema / properties / type / enum
      Previous value: -[
-  "company"
-]New value: +[
+  "company",
+  "ticker"
+]
    • changedInput schema / properties / value / description
      Previous value: -"Ticker (e.g., \"AAPL\") or zero-padded CIK (e.g., \"0000320193\"). Names not supported — use resolve_entity first if you only have a name."New value: +"Ticker (e.g., \"AAPL\"), zero-padded CIK (e.g., \"0000320193\"), or company name (e.g., \"Moderna\") — names resolve via SEC EDGAR company-name match."
  2. Added

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the readOnlyHint/idempotentHint annotations. It discloses the fan-out across SEC EDGAR, XBRL, USPTO, USAspending, FDA Purple Book, DOL LCA, GDELT→GNews, and GLEIF; soft-fails for patents; empty sections meaning 'no data, not a bug'; sources_used/sources_failed; and the resolved:false behavior for private companies. No contradiction with annotations.

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 every clause earns its place by enumerating return sections, source behaviors, and failure modes that would otherwise be unknown given no output schema. It is front-loaded with purpose and examples, though it could benefit from more structured formatting.

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?

With no output schema, the description carries the full burden of return-value documentation. It lists every expected section (cik, company_name, recent_filings with URIs, fundamentals, patents, federal_contracts, fda_products, hiring, news, LEI, sources_used/failed) and covers input edge cases and failure semantics. Nothing critical is missing.

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%, so baseline is 3. The description adds value by reinforcing that 'type' is interchangeable and that 'value' can be ticker, CIK, or name, plus the resolution/failure behavior. It exceeds baseline by tying parameters to real-world edge cases like private-company resolution.

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 opens with explicit user-intent examples and immediately states the core purpose: 'full cross-source profile of a US public company in ONE parallel call.' It distinguishes itself from chaining single-pack lookups and from sibling tools by emphasizing the holistic, cross-source scope, so an agent can confidently select it.

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

Usage Guidelines4/5

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

Provides an explicit preference rule: 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view.' It also clarifies accepted input forms and the private-company resolved:false path. It does not name sibling tools like resolve_entity or deep_research explicitly, but gives enough routing context.

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

A3.5/5.0
Disambiguation2/5

The set has several near-duplicate tools: ask_pipeworx and ask_pipeworx_beta are explicitly designed to be identical right now, and ask_pipeworx_grounded, deep_research, and bet_research all overlap on routed data lookup. The three Reddit tools are distinct, but they are dwarfed by a large cluster of unrelated Pipeworx/Polymarket tools, making the actual purpose of the set hard to pin down.

Naming Consistency2/5

Naming conventions are wildly mixed: some tools use verb_noun (get_post, subscribe, suggest_questions), some use noun phrases (entity_profile, recent_alerts, pipeworx_trending), and some use ad-hoc names (ask_pipeworx, bet_research, scan_dependency). Within sub-families (polymarket_*, ask_pipeworx_*) names are consistent, but overall there is no single predictable pattern.

Tool Count1/5

34 tools is excessive for a server named 'Reddit' when only 3 of them (get_post, get_subreddit, search_posts) actually relate to Reddit. The remaining 31 tools cover unrelated domains like Pipeworx data routing, Polymarket betting, memory management, and npm dependency scanning—an extreme scope mismatch for the advertised server name.

Completeness1/5

The Reddit surface is severely incomplete: it offers read-only post/subreddit/search functionality with no create, edit, delete, vote, comment, or user-profile operations. Conversely, the Pipeworx tooling is over-complete relative to the 'Reddit' name, covering data lookups, prediction markets, subscriptions, and memory—none of which belong in a Reddit server.

Resources