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zxhwolfe-dev

AI Workstation Open Source Intelligence MCP Server

compare_ai_projects

Read-onlyIdempotent

Compare two to five AI projects using explicit criteria and context to clarify trade-offs and support decision-making with transparent evidence.

Instructions

Compare two to five projects in one explicit decision context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoen
contextNo
criteriaNo
request_idNo
project_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the 2-5 project limit and decision-context framing, but does not explain output behavior or what happens with invalid counts or missing context.

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 a single, front-loaded sentence with no filler. It is concise and to the point, though 'explicit decision context' is slightly vague and could be more concrete without losing brevity.

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?

The output schema and annotations cover return values and safety, so those gaps are acceptable. However, the sparse description leaves key parameters like criteria and context under-specified, making it harder for an agent to know how to construct a useful comparison request.

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

Parameters2/5

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

With 0% schema description coverage, the description must compensate. It adds meaning for project_ids (2-5 limit) and hints at context, but criteria, locale, and request_id are left completely unexplained. This is a meaningful gap for an agent deciding how to fill those parameters.

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

Purpose5/5

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

The description names a specific verb ('Compare'), a bounded resource ('two to five projects'), and a decision-oriented scope ('one explicit decision context'). This clearly distinguishes it from sibling tools like search_ai_projects and find_alternatives.

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

Usage Guidelines4/5

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

The description gives a clear context for use: comparing a small set of projects within one decision frame. It does not explicitly mention alternatives or when-not-to-use conditions, but the comparison scope is specific enough to guide selection.

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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