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alopez3006

snipara-mcp

by alopez3006

rlm_decompose

Breaks complex queries into ordered sub-queries, enabling step-by-step execution for improved clarity and performance.

Instructions

Break complex query into sub-queries with execution order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_depthNo
Behavior1/5

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

With no annotations, description carries full burden but fails to disclose side effects, auth needs, or mutation. Only states a basic action, no behavioral context.

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

Conciseness3/5

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

Single sentence, no wasted words, but overly terse. Lacks any structure or detail beyond minimal action.

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

Completeness2/5

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

Description omits crucial context: how sub-queries are returned, meaning of execution order, effect of max_depth, and any return format. Insufficient for a two-parameter tool with no output schema.

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?

Schema coverage is 0%; description adds no meaning beyond field names. 'query' is mentioned implicitly, 'max_depth' not explained. Should clarify their roles.

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?

Description clearly states the verb 'Break' and resource 'complex query into sub-queries with execution order'. It distinguishes from sibling tools like rlm_plan or rlm_orchestrate by focusing on decomposition with order, but lacks explicit contrast.

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 vs alternatives, no exclusions or prerequisites. Only implied use for complex queries, but not explicit.

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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