Get Eurostat HICP inflation — annual rate of change (%) for an EU country (DE, FR, IT, EU27_2020, EA20). Source: Eurostat dissemination API.
| Name | Required | Description | Default |
|---|---|---|---|
| geo | No | EU geo code (e.g. DE, FR, IT, EU27_2020, EA20). Default: DE |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden. It discloses the data source and measurement unit, but omits details about return format (e.g., time series vs. latest value), data freshness, or error behavior for invalid geo codes. This is a minimal but not fully transparent explanation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that conveys the core purpose, the metric, example inputs, and the data source. Every phrase earns its place; there is no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (one optional parameter, no output schema). The description states the exact metric and examples, and the source adds credibility. It lacks a mention of the response structure (e.g., whether it returns a series or a single value), but for the simplicity level, the description is largely sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema's geo parameter description already includes examples and a default. The description repeats the examples without adding new meaning such as accepted formats or additional constraints, so it provides no significant value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with a specific verb 'Get', identifies the resource 'Eurostat HICP inflation', and specifies the metric 'annual rate of change (%)' plus example geo codes (DE, FR, IT, EU27_2020, EA20). This clearly differentiates it from sibling tools like eurostat_gdp or get_inflation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by naming the specific source (Eurostat dissemination API) and metric (HICP inflation). It does not explicitly state when not to use this tool or name alternatives, but the specificity is enough to guide selection among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tool groups have overlapping purposes: fda_drug_labels vs health_drug_search, fda_recalls vs health_recalls, fx_official_rates vs treasury_fx_rates, treasury_debt vs us_debt_current, and get_gdp vs get_bea_gdp. These near-duplicates create real ambiguity for an agent deciding which tool to call.
Names mix verb-led styles (get_, search_, compare_, screen_) with domain-led styles (fx_, treasury_, uk_, health_, eurostat_, datausa_). Within the same domain, similar actions use different patterns (get_gdp vs eurostat_gdp vs imf_indicator), making the set feel inconsistent and hard to predict.
75 tools is extreme for any MCP server, especially when many tools are redundant or cover unrelated domains (weather, earthquakes, scholarly search, air quality) outside the stated SEC/economics/demographics/FX focus. This overwhelms agents and burdens context windows.
Core domains like SEC financials, major economic indicators, basic demographics, and current FX rates are well covered. However, gaps remain: no historical FX rates, no stock price/quote tool, limited demographic breakdowns, and no ability to fetch full SEC filing text. Some operations end in dead ends.