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wshobson

MaverickMCP

agents_compare_multi_agent_analysis

Compare analysis results from multiple agent types side by side to gain consolidated insights for any query.

Instructions

Compare analysis results from multiple agent types side by side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
agent_typesNo
personaNomoderate
session_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits, but it only states 'Compare analysis results... side by side.' It does not disclose whether the tool fetches new results or uses cached data, whether it is computationally expensive, or any side effects. Behavioral transparency is poor.

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

Conciseness2/5

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

The description is extremely short (8 words), which is concise but at the expense of crucial information. It lacks structure and fails to earn its place by providing meaningful guidance. Under-specification is not conciseness.

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

Completeness1/5

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

Given four undocumented parameters, many sibling analysis tools, and an existing output schema, the description is grossly incomplete. It does not explain what data is compared, how to specify agents, or what the output contains. The tool's complexity demands a richer description.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning to any of the four parameters (query, agent_types, persona, session_id). Parameter names alone are insufficient for correct usage, especially for 'persona' which defaults to 'moderate' but is not explained.

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 uses the verb 'compare' and specifies the resource 'analysis results from multiple agent types', clearly distinguishing it from siblings like agents_analyze_market_with_agent (single agent analysis) and agents_compare_personas_analysis (personas instead of agent types). The phrase 'side by side' adds concreteness.

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 guidance on when to use this tool versus alternatives (e.g., agents_orchestrated_analysis). The description does not specify prerequisites, exclusions, or context beyond the tool's generic purpose. A user must infer usage from the name.

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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