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serenmind

weclapp-api-knowledge-mcp

by serenmind

execute_read_plan

Validates knowledge-layer recommendations by executing a read-only GET plan against production data.

Instructions

Execute a GET-only read plan against production to validate a knowledge-layer recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description indicates it is GET-only and executes against production, implying read-only and potential production impact. However, it lacks details on side effects, authentication requirements, rate limits, or any behavioral nuances. With no annotations provided, the description carries full burden and only minimally discloses behavior.

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, making it concise. However, it lacks structure such as sections for input, output, or examples. While no waste, it is too terse and omits important details.

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 complexity (nested object parameter) and the presence of an output schema, the description fails to explain what a 'read plan' is, what the output represents, or how this tool fits into the broader workflow. It is incomplete for effective use.

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 does not explain the single 'plan' parameter's structure, contents, or format. The input schema only defines it as an object with additionalProperties. The description adds no semantic value beyond what is already in the schema.

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 states the tool executes a GET-only read plan to validate a knowledge-layer recommendation. It uses a specific verb and resource, but the term 'knowledge-layer recommendation' is vague, and it does not distinguish from sibling tools like 'validate_read_plan'.

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 such as 'validate_read_plan' or 'plan_cross_entity_read'. There is no mention of prerequisites, when-not to use, or explicit context for 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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