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serenmind

weclapp-api-knowledge-mcp

by serenmind

validate_read_plan

Validates a read plan by comparing it with the expected response to ensure correct cross-schema resolution.

Instructions

Validate that a read plan produced the expected cross-schema resolution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
responseYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist, and the description does not disclose if the tool is read-only, whether it has side effects, or what happens on validation failure. It only states the operation without 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.

Conciseness2/5

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

The description is a single sentence, which is concise but insufficient for a tool with two complex object inputs. It does not front-load key details or structure information effectively.

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 the complexity of the parameters and the existence of an output schema, the description should at least hint at input semantics or validation criteria. It is completely lacking, leaving the tool poorly specified.

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 'plan' and 'response' parameters. Their types are generic objects with additionalProperties, leaving the agent without guidance on expected structure.

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 states the tool validates a read plan for expected cross-schema resolution, distinguishing it from siblings like execute_read_plan and compare_to_schema. However, 'cross-schema resolution' is somewhat jargon-y and may not be immediately clear.

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 is provided on when to use this tool versus alternatives like compare_to_schema or analyze_response_structure. The description lacks any context for triggering or prerequisites.

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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