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rezmeplxrf

InsightSentry MCP

by rezmeplxrf

get_events

Fetch economic calendar data by week range and country code. Access event titles, dates, importance levels, and source URLs to track market-moving financial announcements and plan trading strategies.

Instructions

Economic events calendar. Retrieve economic events calendar data for a specified time range → Returns {total_count: number, range: string, last_update: number, data: [{title?: string, country?: string, type?: string, currency?: string, importance?: string, date?: string, source_url?: string}]}. Default: current week. Use 'w' to look ahead. Filter by country with 'c'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wNoSpecifies the week range. For example, 1 means this week (starting today) through next week, 2 means next week through the following week, and so on.
cNo(Optional) Filter by country code(s) as a comma-separated ISO 3166-1 alpha-2 string, for example `US,AR`. Invalid codes will be ignored.
filterNo(Optional) JSONata expression to filter/transform the API response server-side before it reaches you. Use this to extract only the fields or rows you need, reducing token usage. See https://jsonata.org for syntax.
Behavior4/5

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

No annotations provided, so description carries full burden. Compensates well by disclosing the complete return data structure (total_count, range, data array with specific fields) since no output schema exists. Also notes default temporal scope (current week).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Information density is high but structure is fragmented (opening sentence fragment, arrow notation for return type, terse parameter notes). The inline JSON return structure is functional but reduces readability. No wasted words, but could be better structured.

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?

Given no output schema, the description adequately compensates by detailing the return structure. All 3 parameters are well-documented in schema. Tool scope is simple (data retrieval), and description provides sufficient context for invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% description coverage. Description adds value by mapping shorthand parameter names to actions ('w' for looking ahead, 'c' for country filtering) which complements the technical schema descriptions without redundancy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States specific verb (Retrieve) and resource (economic events calendar data) and distinguishes from siblings like get_earnings or get_dividends by specifying 'Economic events' (macro/country-level vs corporate). However, could be clearer about what constitutes an economic event (e.g., central bank meetings, CPI releases).

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

Usage Guidelines3/5

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

Provides implicit usage guidance through parameter hints ('Use w to look ahead', 'Filter by country with c') and notes the default behavior (current week). Lacks explicit when-to-use guidance comparing it to sibling tools like get_earnings or get_ipos which also return calendar data.

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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