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serenmind

weclapp-api-knowledge-mcp

by serenmind

compare_approaches

Compare a naive N+1 API approach with an efficient read plan to identify optimal query strategies for the weclapp API.

Instructions

Compare naive N+1 API research with the recommended efficient read plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
root_entityYes
goalYes
needsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description lacks any behavioral details beyond the core action. With no annotations provided, the agent cannot infer whether this is a read-only operation, requires authentication, or has side effects. The output schema exists but is not described, so the agent has no insight into what the tool returns.

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?

The description is a single sentence, which is concise but at the expense of necessary detail. It front-loads the purpose but omits important information about parameters and usage.

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?

Given the three parameters, zero schema descriptions, and lack of annotations, the description is insufficient for an agent to confidently use this tool. The existence of an output schema is noted but not leveraged in the description. The description needs to cover parameter meanings and typical use cases.

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 provides no explanation for any of the three parameters (root_entity, goal, needs). The agent has no semantic understanding of what to provide for each parameter, making correct invocation difficult.

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 identifies the tool's action: comparing two research approaches (naive N+1 vs efficient read plan). It distinguishes from siblings like plan_cross_entity_read and validate_read_plan which focus on planning or validation, not comparison. However, it could be more precise about the output or what 'compare' entails.

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. The description does not mention prerequisites, typical scenarios, or situations to avoid. Sibling tools provide related functionalities but no differentiation is given.

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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