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joseabantomarin

wquestions-mcp

add_entity

Create a new entity on a specified value axis (Q, O, L, T, N, or K) to represent an individual in any domain model.

Instructions

Create an individual on a value axis (Q, O, L, T, N, or K).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisYes
labelNo
entity_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. However, it only says 'Create an individual on a value axis', omitting details about idempotency, error handling, permissions, or whether the tool is destructive. The description adds minimal 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.

Conciseness4/5

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

The description is a single, efficient sentence with no wasted words. However, given the lack of schema descriptions, it could be slightly longer to cover more context without becoming verbose.

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?

Despite having 3 parameters, no schema descriptions, and no annotations, the description is sparse. It does not explain return values (even though an output schema exists), prerequisites, or behavior for edge cases. The tool requires more context to be used correctly.

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 description coverage is 0%, so the description should compensate. It lists valid axis values, which helps for the 'axis' parameter, but provides no insight into 'entity_id' or 'label'. This is insufficient for understanding all parameters.

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 clearly states the verb 'Create' and the resource 'individual on a value axis', and enumerates the valid axis values (Q, O, L, T, N, or K). This distinguishes it from sibling tools like list_axes or define_verb, making it unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It only states what the tool does, not when it is appropriate.

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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