Skip to main content
Glama

Arcgis Sanjose

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?

Annotations already declare readOnlyHint and idempotentHint. The description adds significant behavioral context: it fans out across multiple sources in one parallel call, mentions a specific soft-fail for patents (USPTO PatentsView API sunset May 2025), and details the returned fields (cik, filings with URIs, fundamentals sorted, etc.). No contradictions 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 well-structured with examples first, then behavior, then return fields. However, it is slightly verbose with many example queries and details about specific URIs. Still, every sentence contributes value.

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 lack of output schema, the description thoroughly covers what the agent can expect: specific return fields (cik, company_name, recent_filings with URIs, fundamentals with sorting, patents with deprecation note, news with fallback, LEI). It also explains the input constraints and behavior.

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?

Schema coverage is 100%, meaning both parameters (type and value) are described. The description reinforces the schema: type is 'company' only, value is ticker or CIK. It adds crucial nuance that names are not supported, going beyond the schema's description.

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 multiple example queries (e.g., 'Tell me about X', 'research Acme'), clearly stating the tool's purpose: a full cross-source profile of a US public company. It lists the sources and returned fields, and explicitly distinguishes from sibling tools by saying 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups'.

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 provides explicit guidance: 'ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view.' It also states what inputs are accepted (ticker or zero-padded CIK) and that names are not supported, directing users to 'use resolve_entity first if you only have a name.'

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

All Arcgis Sanjose 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

A3.8/5.0
Disambiguation3/5

While many tools have distinct purposes, there is overlap between ask_pipeworx, ask_pipeworx_grounded, and deep_research, as well as multiple Polymarket and entity-related tools. Descriptions are detailed but could confuse agents on which tool to use for a specific query.

Naming Consistency3/5

Most tool names use snake_case and many start with verbs, but there is inconsistency with noun-starting names like entity_profile, layer_info, and pipeworx_feedback. No strong verb_noun or other consistent pattern across the set.

Tool Count3/5

With 33 tools, the count is relatively high but could be justified for a broad data platform. However, given the server name 'Arcgis Sanjose', the number seems excessive as most tools are unrelated to ArcGIS geospatial functions.

Completeness2/5

The tool set is severely incomplete for the implied ArcGIS San Jose domain, with only 3 tools (search_datasets, layer_info, query_layer) supporting that purpose. The rest are from the Pipeworx ecosystem, creating a mismatch between server name and actual functionality.

Resources