Skip to main content
Glama

Professor Sausages — Finance

US macro indicators

macro_series

US macroeconomic series (CPI, unemployment, fed funds, 10-year treasury, real GDP). Pass an id for one series, omit to list what's available. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free pricing tool lists every price at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoSeries id; omit to list available series
x_paymentNoOptional signed x402 payment payload (base64, what the X-PAYMENT header carries). Omit to receive the exact payment terms; sign them (e.g. @x402/fetch) and call again with this argument to settle and get the data.

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses the paid nature, the requirement to call without x_payment to receive terms, sign them, and call again with x_payment. This is strong transparency for a paid tool, though it doesn't mention error behaviors or return format.

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?

Three sentences, each earning its place: resource overview, usage pattern, and payment flow. No fluff or repetition, and the most important usage guidance is front-loaded.

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

Completeness4/5

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

For a simple tool with two optional parameters and no output schema, the description covers the key aspects: what data is available, how to list/fetch, and how payment works. It could mention the response format or whether data is historical, but the tool is adequately specifiable as-is.

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% and both parameters have descriptions. The description adds value by explaining the payment sequence associated with x_payment and the optionality of id, complementing the schema's details.

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 resource (US macroeconomic series) and the actions: pass an id to get one series or omit to list available ones. It differentiates from sibling tools by naming the free `pricing` tool for all prices at once.

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 explains when to use the tool: pass an id for a specific series, omit to list. It also provides a clear alternative ('The free `pricing` tool lists every price at once') and details the two-step payment flow, which is crucial for correct invocation.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource and operation: coverage and pricing are meta, find_data searches endpoints, request_data handles missing data, and the data tools are clearly separated by type (FX, holdings, insider, IPO, macro, SEC filings, security holders). Even the three holdings-related tools have clear boundaries: manager_holdings gives a portfolio, holdings_changes gives changes vs prior quarter, and security_holders gives holders by CUSIP.

Naming Consistency3/5

All names use lowercase with underscores, which is consistent, but the pattern mixes nouns (coverage, pricing, fx_rate, macro_series) and verb_noun pairs (find_data, request_data). This is readable but not a fully predictable verb_noun convention as seen in well-structured servers.

Tool Count5/5

With 12 tools, the count is well within the ideal range for a data-access server, covering discovery, metadata, pricing, and a broad set of financial datasets without feeling bloated.

Completeness4/5

The domain is financial data access, and it covers key areas: SEC filings, institutional holdings, insider activity, IPO pipeline, macroeconomic series, FX rates, and data discovery. The main gap is a lack of a full-text filing retrieval tool, but sec_filing_section provides sections, and request_data allows filling missing coverage.

Resources