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Decian-Inc

connectsecure-mcp

by Decian-Inc

get_report_queries_user_event_stats

Retrieve user event statistics for reporting using route IDs, filters, and pagination parameters.

Instructions

Retrieve user event stats Calls GET /report_queries/user_event_stats. Provide route IDs in path_params, filters and pagination in query, and any required request headers in headers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
queryNo
headersNo
path_paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description at least reveals that this is a GET/retrieve operation, which implies read-only behavior. It also mentions the possibility of required request headers, but it does not disclose pagination limits, authorization requirements, or other behavioral caveats.

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 short and front-loaded with the core purpose and endpoint. It has no fluff, though the punctuation between 'Retrieve user event stats' and 'Calls GET...' is a minor readability issue.

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

Completeness3/5

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

It is adequate for a simple GET wrapper: endpoint, output schema, and parameter placement are present. However, it does not specify valid filter names, pagination conventions, exact required headers, or how to handle the body parameter, leaving the full call contract underspecified.

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?

Because the schema coverage is 0% and the schema parameters are generic empty objects, the description adds crucial meaning by mapping route IDs to path_params, filters/pagination to query, and headers to headers. It omits the body parameter, but body is likely irrelevant for a GET endpoint.

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?

The description clearly states a specific verb and resource: 'Retrieve user event stats', and identifies the exact endpoint. The 'user_event_stats' qualifier helps distinguish it from sibling report-query tools, though it does not explicitly contrast it with them.

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

Usage Guidelines2/5

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

It explains how to route parameters into path_params, query, and headers, but gives no guidance on when to choose this tool over alternatives. There are no usage conditions, prerequisites, or exclusions.

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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