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WeTrack Enterprise MCP Server

by subbuyalla

wetrack_get_project_overview

Retrieve complete project overview analytics including KPIs, ticket distributions, team stats, and progress to assess project health at a glance.

Instructions

Get the complete overview dashboard analytics for a project — includes KPIs, ticket distributions, team stats, and progress.

Args: project_id: The project UUID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It clearly implies a read-only operation via 'Get' and describes the included analytics categories. However, it does not explicitly state that it has no side effects, whether authentication is required, or any 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.

Conciseness5/5

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

The description is concise and front-loaded: the main purpose appears in the first line, followed by a compact list of what is included and a one-line parameter definition. Every sentence earns its place with no filler.

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 read operation, the required invocation information is present: the tool's purpose, included data categories, and the single required parameter as a UUID. The output schema covers return structure. The main gap is the lack of differentiation from overlapping sibling tools, which prevents an agent from confidently selecting this tool over them.

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 description coverage is 0%, so the description must compensate. It does so by defining project_id as 'The project UUID', which adds semantic meaning beyond the bare string type in the schema. For a single parameter, this is sufficient, though it could include more format or source guidance.

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 opens with a specific verb and resource: 'Get the complete overview dashboard analytics for a project' and lists concrete contents (KPIs, ticket distributions, team stats, progress). It is clear, but it does not explicitly distinguish itself from overlapping siblings like wetrack_get_project, wetrack_get_project_stats, wetrack_get_project_reports, or wetrack_get_dashboard.

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?

There is no guidance on when to use this tool versus the many closely related sibling tools. No alternatives, exclusions, or decision criteria are provided, so an agent cannot tell whether to call this instead of get_project_stats, get_project_reports, or get_dashboard.

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

Deploy Server

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