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ArmandSwirc

TimeChimp MCP Server

by ArmandSwirc

get_project_insights

Retrieve project analytics including hours, budget, costs, and revenue data to monitor financial performance and track progress.

Instructions

Get project insights including hours, budget, costs, and revenue data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProject ID
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Get' implying a read operation, but doesn't disclose behavioral traits like authentication needs, rate limits, data freshness, or whether this aggregates real-time vs. historical data. For a financial insights tool with no annotation coverage, this is a significant gap in transparency.

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?

Single sentence, front-loaded with the core purpose, listing key data types efficiently. No redundant words or structural issues—every part of the description earns its place.

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?

Given one parameter with full schema coverage and no output schema, the description is minimally complete for a read operation. However, as a financial insights tool with no annotations, it should do more to explain return format (e.g., structured metrics vs. raw data) and usage context. It's adequate but has clear gaps in behavioral context.

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 description coverage is 100% for the single parameter 'id', so the schema already documents it as 'Project ID'. The description doesn't add meaning beyond what the schema provides—it doesn't clarify format constraints or example values. Baseline 3 is appropriate when schema handles parameter documentation.

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 the action ('Get') and the resource ('project insights'), specifying the data types included (hours, budget, costs, revenue). It distinguishes from siblings like 'get_project_by_id' by focusing on insights rather than basic project details. However, it doesn't explicitly contrast with 'get_projects' for listing multiple projects.

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?

No explicit guidance on when to use this tool versus alternatives like 'get_project_by_id' or 'get_projects'. The description implies usage for detailed financial/metric insights on a specific project, but lacks clear exclusions or prerequisites. It doesn't mention if this is for reporting vs. operational purposes.

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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