Skip to main content
Glama

Jsonplaceholder

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

A4.8/5.0
Behavior5/5

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

Annotations already declare read-only, open world, idempotent, and non-destructive. The description adds substantial behavioral context beyond annotations: parallel fan-out across multiple sources, specific return fields, the patents API sunset soft-fail, and the GDELT→GNews fallback chain. 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 sentence carries specific information. It is front-loaded with user intent examples, then strategic guidance, then structured output list, then parameter constraints. Slightly dense but not bloated; appropriate for a complex multi-source tool.

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 no output schema, the description fully enumerates the return structure (cik, recent_filings, fundamentals, patents, news, LEI) and addresses edge cases (patent API sunset, name resolution fallback). It is complete for a tool of this complexity.

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 providing concrete examples ('AAPL', '0000320193'), clarifying zero-padding for CIK, and reinforcing that names are unsupported. This goes beyond the schema's 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 clearly identifies the tool as a full cross-source profile generator for US public companies, with a specific verb ('profile', 'brief me') and resource ('US public company'). It distinguishes from siblings by explicitly stating to prefer this over chaining single-pack SEC/XBRL/news lookups for holistic queries.

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?

Provides explicit when-to-use guidance: 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view.' Also clearly states when not to use it (if only a name is provided, use resolve_entity first), which acts as an alternative tool recommendation.

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

All Jsonplaceholder 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

A3.7/5.0
Disambiguation2/5

Multiple tools overlap heavily: ask_pipeworx_beta is explicitly identical to ask_pipeworx, and ask_pipeworx, ask_pipeworx_grounded, deep_research, and validate_claim all serve natural-language question answering. The JSONPlaceholder get_* tools are distinct but introduce an unrelated domain, making tool selection ambiguous in practice.

Naming Consistency3/5

All names use lowercase snake_case, which is a consistent style, but there's no uniform verb_noun pattern. Tools mix action-first names (get_posts, remember, resolve_entity) with noun-oriented names (entity_profile, deep_research, pipeworx_trending). The naming is readable but not highly predictable.

Tool Count2/5

35 tools is far beyond the typical well-scoped range of 3-15. The set includes a full suite of Pipeworx/Polymarket tools plus a separate JSONPlaceholder demo namespace, making the server feel bloated and unfocused. Many meta-tools (discover_tools, suggest_questions, pipeworx_trending) could be consolidated.

Completeness2/5

The server's name and the get_posts/get_post/get_comments/get_users tools suggest a JSONPlaceholder fake API, but CRUD operations are missing: there's no create, update, or delete for posts, comments, or users, and no todos, albums, or photos. The unrelated Pipeworx/Polymarket tools don't address this core domain gap.

Resources